Follow @jure

Publications

Google Scholar: Jure Leskovec

(publications in chronological order)

Preprints

• How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities. C. Bunne, et al. arXiv, 2024.
• Universal cell embeddings: A foundation model for cell biology. Y. Rosen, Y. Roohani, A. Agrawal, L. Samotorcan, Tabula Sapiens Consortium, S. R. Quake, J. Leskovec. bioRxiv, 2023.

2024

• A foundation model for clinician-centered drug repurposing. K. Huang, P. Chandak, Q. Wang, S. Havaldar, A. Vaid, J. Leskovec, G. Nadkarni, B. Glicksberg, N. Gehlenborg, M. Zitnik. Nature Medicine, 2024.
• Listening to the Voices of America. K. J Edin, C. D. Fields, D. B. Grusky, J. Leskovec, M. J. Mattingly, K. Olson, C. Varner. RSF: The Russell Sage Foundation Journal of the Social Sciences, 2024.
• MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation. Q. Huang, J. Vora, P. Liang, J. Leskovec. International Conference on Machine Learning (ICML), 2024.
• Position: Relational Deep Learning - Graph Representation Learning on Relational Databases. M. Fey, W. Hu, K. Huang, J. Lenssen, R. Ranjan, J. Robinson, R. Ying, J. You, J. Leskovec. International Conference on Machine Learning (ICML), 2024.
• Inferring Networks from Marginals Using Iterative Proportional Fitting. S. Chang, Z. Qu, J. Leskovec, J. Ugander. International Conference on Machine Learning (ICML), 2024.
• Equivariant graph neural operator for modeling 3d dynamics. M. Xu, J. Han, A. Lou, J. Kossaifi, A. Ramanathan, K. Azizzadenesheli, J. Leskovec, S. Ermon, A. Anandkumar. International Conference on Machine Learning (ICML), 2024.
• Context-Aware Meta-Learning. C. Fifty, D. Duan, R. Junkins, E. Amid, J. Leskovec, C. Ré, S. Thrun. International Conference on Learning Representations (ICLR), 2024.
• VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. L. Yang, Y. Tian, M. Xu, Z. Liu, S. Hong, W. Qu, W. Zhang, B. Cui, M. Zhang, J. Leskovec. International Conference on Learning Representations (ICLR), 2024.
• Large Language Models as Analogical Reasoners. M. Yasunaga, X. Chen, Y. Li, P. Pasupat, J. Leskovec, P. Liang, E. Chi, D. Zhou. International Conference on Learning Representations (ICLR), 2024.
• Compositional Generative Inverse Design. T. Wu, T. Maruyama, L. Wei, T. Zhang, Y. Du, G. Iaccarino, J. Leskovec. International Conference on Learning Representations (ICLR), 2024.
• Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution. T. Wu, W. Neiswanger, H. Zheng, S. Ermon, J. Leskovec. AAAI Conference on Artificial Intelligence, 2024.
• Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN. Y. Rosen, M. Brbić, Y. Roohani, K. Swanson, Z. Li, J. Leskovec. Nature Methods, 2024.
• Human mobility networks reveal increased segregation in large cities. H. Nilforoshan, W. Looi, E. Pierson, B. Villanueva, N. Fishman, Y. Chen, J. Sholar, B. Redbird, D. Grusky, J. Leskovec. Nature, 2024.

  2023

• Uncertainty quantification over graph with conformalized graph neural networks. K. Huang, Y. Jin, E. Candes, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2023.
• Temporal graph benchmark for machine learning on temporal graphs. S. Huang, F. Poursafaei, J. Danovitch, M. Fey, W. Hu, E. Rossi, J. Leskovec, M. Bronstein, G. Rabusseau, R. Rabbany. Neural Information Processing Systems (NeurIPS), 2023.
• Holistic evaluation of text-to-image models. T. Lee, M. Yasunaga, et al. Neural Information Processing Systems (NeurIPS), 2023.
• High dimensional, tabular deep learning with an auxiliary knowledge graph. C. Ruiz, H. Ren, K. Huang, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2023.
• Prodigy: Enabling in-context learning over graphs. Q. Huang, H. Ren, P. Chen, G. Kržmanc, D. Zeng, P. Liang, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2023.
• When do graph neural networks help with node classification? investigating the impact of homophily principle on node distinguishability. S. Luan, C. Hua, M. Xu, Q. Lu, J. Zhu, X. Chang, J. Fu, J. Leskovec, D. Precup. Neural Information Processing Systems (NeurIPS), 2023.
• Large graph property prediction via graph segment training. K. Cao, P. M. Phothilimthana, S. Abu-El-Haija, D. Zelle, Y. Zhou, C. Mendis, J. Leskovec, B. Perozzi. Neural Information Processing Systems (NeurIPS), 2023.
• Zero-shot causal learning. H. Nilforoshan, M. Moor, Y. Roohani, Y. Chen, A. Šurina, M. Yasunaga, S. Oblak, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2023.
• VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering. Y. Wang, M. Yasunaga, H. Ren, S. Wada, J. Leskovec. IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
• Graph and geometry generative modeling for drug discovery. M. Xu, M. Liu, W. Jin, S. Ji, J. Leskovec, S. Ermon. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2023.
• Med-Flamingo: a Multimodal Medical Few-shot Learner. M. Moor, Q. Huang, S. Wu, M. Yasunaga, C. Zakka, Y. Dalmia, E. Reis, P. Rajpurkar, J. Leskovec. Proceedings of Machine Learning Research, 2023.
• Predicting Transcriptional Outcomes of Novel Multigene Perturbations with GEARS. Y. Roohani, K. Huang, J. Leskovec. Nature Biotechnology, 2023.
• Scientific Discovery in the Age of Artificial Intelligence. H. Wang, T. Fu, Y. Du, W. Gao, K. Huang, Z. Liu, P. Chandak, S. Liu, P. Katwyk, A. Deac, A. Anandkumar, K. Bergen, C. Gomez, S. Ho, P. Kohli, J. Lasenby, J. Leskovec, T. Liu, A. Manral, D. Marks, B. Ramsundar, L. Song, J. Sun, J. Tang, P. Velickovic, M. Welling, L. Zhang, G. Coley, Y. Bengio, M. Zitnik. Nature, 2023.
• Geometric Latent Diffusion Models for 3D Molecule Generation. M. Xu, A. Powers, R. Dror, S. Ermon, J. Leskovec. International Conference on Machine Learning (ICML), 2023.
• Retrieval-Augmented Multimodal Language Modeling. M. Yasunaga, A. Aghajanyan, W. Shi, R. James, J. Leskovec, P. Liang, M. Lewis, L. Zettlemoyer, W. Yih. International Conference on Machine Learning (ICML), 2023.
• Organization of the Human Intestine at Single-Cell Resolution. J. Hickey, et al. Nature, 2023.
• Aging Fly Cell Atlas Identifies Exhaustive Aging Features at Cellular Resolution. T. Lu, M. Brbic, Y. Park, T. Jackson, J. Chen, S. Kolluru, Y. Qi, N. Katheder, X. Cai, S. Lee, Y. Chen, N. Auld, C. Liang, S. Ding, D. Welsch, S. D'Souza, A. Pisco, R. Jones, J. Leskovec, E. Lai, H. Bellen, L. Luo, H. Jasper, S. Quake, H. Li. Science, 2023.
• Graph-Based Clinical Recommender: Predicting Specialists Procedure Orders Using Graph Representation Learning. S. Fouladvand, F. Gomez, H. Nilforoshan, M. Schwede, M. Noshad, O. Jee, J. You, R. Sosic, J. Leskovec, J. Chen. Journal of Biomedical Informatics, 2023.
• Learning Controllable Adaptive Simulation for Multi-resolution Physics. T. Wu, T. Maruyama, Q. Zhao, G. Wetzstein, J. Leskovec. International Conference on Learning Representations (ICLR), 2023.
• AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. K. Cao, J. You, J. Liu, J. Leskovec. International Conference on Learning Representations (ICLR), 2023.
• Foundation Models for Generalist Medical Artificial Intelligence. M. Moor, O. Banerjee, Z. Abad, H. Krumholz, J. Leskovec, E. Topol, P. Rajpurkar. Nature, 2023.
• Hybrid Forecasting of Geopolitical Events. D. Benjamin, et al. AI Magazine, 2023.
• Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks. S. Chang, D. Vrabac, J. Leskovec, J. Ugander. AAAI Conference on Artificial Intelligence, 2023.
• Mutual Interactors as a Principle for Phenotype Discovery in Molecular Interaction Networks. S. Eyuboglu, M. Zitnik, J. Leskovec. Pacific Symposium on Biocomputing (PSB), 2023.
• Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. X. Zhang, et al. arXiv, 2023.
• Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases. H. Ren, M. Galkin, M. Cochez, Z. Zhu, J. Leskovec. arXiv, 2023.

2022

• Learning Graph Search Heuristics. M. Pandy, W. Qiu, G. Corso, P. Velickovic, Z. Ying, J. Leskovec, P. Lio. Learning on Graphs Conference (LoG), 2022.
• DRAGON: Deep Bidirectional Language-Knowledge Graph Pretraining. M. Yasunaga, A. Bosselut, H. Ren, X. Zhang, C. D. Manning, P. Liang, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2022.
• Learning to Accelerate Partial Differential Equations via Latent Global Evolution. T. Wu, T. Maruyama, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2022.
• ZeroC: A Neuro-Symbolic Model for Zero-Shot Concept Recognition and Acquisition at Inference Time. T. Wu, M. Tjandrasuwita, Z. Wu, X. Yang, K. Liu, R. Sosic, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2022.
• Few-shot Relational Reasoning via Connection Subgraph Pretraining. Q. Huang, H. Ren, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2022.
• Annotation of Spatially Resolved Single-cell Data with STELLAR. M. Brbic, K. Cao, J. W. Hickey, Y. Tan, M. P. Snyder, G. P. Nolan, J. Leskovec. Nature Methods, 2022.
• Artificial intelligence foundation for therapeutic science. K. Huang, T. Fu, W. Gao, Y. Zhao, Y. Roohani, J. Leskovec, C. W. Coley, C. Xiao, J. Sun, and M. Zitnik. Nature Chemical Biology, 2022.
• MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. S. Gurukar, N. Pancha, A. Zhai, E. Kim, S. Hu, S. Parthasarathy, C. Rosenberg, J. Leskovec. International Conference on Very Large Data Bases (VLDB), 2022.
• ROLAND: Graph Learning Framework for Dynamic Graphs. J. You, T. Du, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2022.
• Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. T. Wu, Q. Wang, Y. Zhang, R. Ying, K. Cao, R. Sosic, R. Jalali, H. Hamam, M. Maucec, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2022.
• Learning Backward Compatible Embeddings. W. Hu, R. Bansal, K. Cao, N. Rao, K. Subbian, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2022.
• SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. H. Ren, H. Dai, B. Dai, X. Chen, D. Zhou, J. Leskovec, D. Schuurmans. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2022.
• ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest. P. Baltescu, H. Chen, N. Pancha, A. Zhai, J. Leskovec, C. Rosenberg. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2022.
• PinnerFormer: Sequence Modeling for User Representation at Pinterest. N. Pancha, A. Zhai, J. Leskovec, C. Rosenberg. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2022.
• LinkBERT: Pretraining Language Models with Document Links. M. Yasunaga, J. Leskovec, P. Liang. Association for Computational Linguistics (ACL), 2022.
• GreaseLM: Graph REASoning Enhanced Language Models for Question Answering. X. Zhang, A. Bosselut, M. Yasunaga, H. Ren, P. Liang, C. D. Manning, J. Leskovec. International Conference on Learning Representations (ICLR), 2022.
• Open-World Semi-Supervised Learning. K. Cao, M. Brbic, J. Leskovec. International Conference on Learning Representations (ICLR), 2022.
• Extending the WILDS Benchmark for Unsupervised Adaptation. S. Sagawa, P. W. Koh, T. Lee, I. Gao, S. M. Xie, K. Shen, A. Kumar, W. Hu, M. Yasunaga, H. Marklund, S. Beery, E. David, I. Stavness, W. Guo, J. Leskovec, K. Saenko, T. Hashimoto, S. Levine, C. Finn, P. Liang. International Conference on Learning Representations (ICLR), 2022.
• Relational Multi-Task Learning: Modeling Relations Between Data and Tasks. K. Cao, J. You, J. Leskovec. International Conference on Learning Representations (ICLR), 2022.
• Non-Euclidean Machine Learning (Guest Editorial). S. Zafeiriou, M. Bronstein, T. Cohen, O. Vinyals, L. Song, J. Leskovec, P. Lio, J. Bruna, M. Gori. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.
• The Expressive Power of Graph Neural Networks. P. Li, J. Leskovec. Chapter in Graph Neural Networks: Foundations, Frontiers, and Applications, Springer, 2022.
• Large-scale diet tracking data reveal disparate associations between food environment and diet. T. Althoff, N. Nilforoshan, J. Hua, J. Leskovec. Nature Communications, 2022.
• Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites. Z. Mehrab, M. Wilson, S. Chang, G. Harrison, B. Lewis, A. Telionis, J. Crow, D. Kim, S. Spillmann, K. Peters, J. Leskovec, M. Marathe. AAAI Conference on Artificial Intelligence, 2022.
• M2P2: Multimodal Persuasion Prediction using Adaptive Fusion. C. Bai, H. Chen, S. Kumar, J. Leskovec, V.S. Subrahmanian. IEEE Transactions on Multimedia, 2022.
• Fly Cell Atlas: A single-nucleus transcriptomicatlas of the adult fruit fly. H. Li, J. Janssens, et al. Science, 2022.

2021

• Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones. Y. Bai, R. Ying, H. Ren, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2021.
• Combiner: Full Attention Transformer with Sparse Computation Cost. H. Ren, H. Dai, Z. Dai, M. Yang, J. Leskovec, D. Schuurmans, B. Dai. Neural Information Processing Systems (NeurIPS), 2021.
• OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs. W. Hu, M. Fey, H. Ren, M. Nakata, Y. Dong, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2021.
• Neural Distance Embeddings for Biological Sequences. G. Corso, Z. Ying, M. Pandy, P. Veličković, J. Leskovec, P. Liò. Neural Information Processing Systems (NeurIPS), 2021.
• Combining Graph Convolutional Neural Networks and Label Propagation. H. Wang, J. Leskovec. ACM Transactions on Information Systems (TOIS), 2021.
• LM-Critic: Language Models for Unsupervised Grammatical Error Correction. M. Yasunaga, J. Leskovec, P. Liang. Empirical Methods on Natural Language Processing (EMNLP), 2021.
• Postmortem memory of public figures in news and social media. R. West, J. Leskovec, C. Potts. Proceedings of the National Academy of Sciences (PNAS), 2021.
• Leveraging the Cell Ontology to classify unseen cell types. S. Wang, A. Pisco, A. McGeever, M. Brbic, M. Zitnik, S. Darmanis, J. Leskovec, J. Karkanias. R. Altman. Nature Communications, 2021.
• Companies under stress: the impact of shocks on the production network. R. Palovics, P. Dolenc, J. Leskovec. EJP Data Science, 2021.
• Maximally selective single-cell target for circuit control in epilepsy models. D. Hadjiabadi, M. Lovett-Barron, I. Raikov, F. Sparks, Z. Liao, S. C. Baraban, J. Leskovec, A. Losonczy, K. Deisseroth, I. Soltesz. Neuron, 2021.
• Supporting COVID-19 policy response with large-scale mobility-based modeling. S. Chang, M.L. Wilson, B. Lewis, Z. Mehrab, K.K. Dudakiya, E. Pierson, P.W. Koh, J. Gerardin, B. Redbird, D. Grusky, M. Marathe, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2021. Best paper award - Applied Data Science Track.
• Relational Message Passing for Knowledge Graph Completion. H. Wang, H. Ren, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2021.
• Bipartite Dynamic Representations for Abuse Detection. A.Z. Wang, R. Ying, P. Li, N. Rao, K. Subbian, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2021.
• Inductive Learning on Commonsense Knowledge Graph Completion. B. Wang, G. Wang, J. Huang, J. You, J. Leskovec, C.-C. J. Kuo. International Joint Conference on Neural Networks (IJCNN), 2021.
• GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings. M. Fey, J. E. Lenssen, F. Weichert, J. Leskovec. International Conference on Machine Learning (ICML), 2021.
• WILDS: A Benchmark of in-the-Wild Distribution Shifts. P. W. Koh, S. Sagawa, H. Marklund, S. M. Xie, M. Zhang, A. Balsubramani, W. Hu, M. Yasunaga, R. Lanas Phillips, I. Gao, T. Lee, E. David, I. Stavness, W. Guo, B. A. Earnshaw, I. S. Haque, S. Beery, J. Leskovec, A. Kundaje, E. Pierson, S. Levine, C. Finn, P. Liang. International Conference on Machine Learning (ICML), 2021.
• Multi-hop Attention Graph Neural Networks. G. Wang, R. Ying, J. Huang, J. Leskovec. International Joint Conference on Artificial Intelligence (IJCAI), 2021.
• LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs. H. Ren, H. Dai, B. Dai, X. Chen, M. Yasunaga, H. Sun, D. Schuurmans, J. Leskovec, D. Zhou. International Conference on Machine Learning (ICML), 2021.
• QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. M. Yasunaga, H. Ren, A. Bosselut, P. Liang, J. Leskovec. North American Chapter of the Association for Computational Linguistics (NAACL), 2021.
• Identification Of Disease Treatment Mechanisms Through The Multiscale Interactome. C. Ruiz, M. Zitnik, J Leskovec. Nature Communications, 2021.
• Deception Detection in Group Video Conversations using Dynamic Interaction Networks. S. Kumar, C. Bai, V.S. Subramanian, J. Leskovec. AAAI International Conference on Weblogs and Social Media (ICWSM), 2021.
• Gender Differences in Patient Perceptions of Physicians' Communal Traits and the Impact on Physician Evaluations. H. Chen, E. Pierson, S. Schmer-Galunder, J. Altamirano, D. Jurafsky, J. Leskovec, M. Fassiotto, N. Kothary. Journal of Women's Health, 2021.
• Concept Learners for Few-Shot Learning. K. Cao, M. Brbic, J. Leskovec. International Conference on Learning Representations (ICLR), 2021.
• Inductive Representation Learning In TempoRal Networks Via Causal Anonymous Walks. Y. Wang, Y. Chang, Y Liu, J. Leskovec, P. Li. International Conference on Learning Representations (ICLR), 2021.
• Language-agnostic Representation Learning Of Source Code From Structure And Context. D. Zugner, T. Kirschstein, M. Catasta, J. Leskovec, S. Gunnemann. International Conference on Learning Representations (ICLR), 2021.
• ForceNet: A Graph Neural Network for Large-Scale Quantum Chemistry Calculations. W. Hu, M. Shuaibi, A. Das, S. Goyal, A. Sriram, J. Leskovec, D. Parikh, C. L. Zitnick. International Conference on Learning Representations (ICLR) SimDL Workshop, 2021.
• An algorithmic approach to reducing unexplained pain disparities in underserved populations. E. Pierson, D. Cutler, J. Leskovec, S. Mullainathan, Z. Obermeyer. Nature Medicine, 2021.
• Daily, weekly, seasonal and menstrual cycles in women’s mood, behaviour and vital signs. E. Pierson, T. Althoff, D. Thomas, P Hillard, J. Leskovec. Nature Human Behavior, 2021.
• TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks. Y. Wang, P. Li, C. Bai, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2021.
• Single-cell Transcriptomes of Developing and Adult Olfactory Receptor Neurons in Drosophila. C. McLaughlin, M. Brbic, Q. Xie, T. Li, F. Horns, S. Kolluru, J. Kebschull, D. Vacek, A. Xie, J. Li, R. Jones, J. Leskovec, S. Quake, L. Luo, H. Li. eLife, 2021.
• Temporal Evolution of Single-cell Transcriptomes of Drosophila Olfactory Projection Neurons. Q. Xie, M. Brbic, F. Horns, S. Kolluru, B. Jones, J. Li, A. Reddy, A. Xie, S. Kohani, Z. Li, C. McLaughlin, T Li, C. Xu, D. Vacek, D. Luginbuhl, J. Leskovec, S. Quake, L. Luo, H. Li. eLife, 2021.
• F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams. Y. Chang, P. Li, R Sosic, M. Afifi, M. Schweighauser, J. Leskovec. ACM International Conference on Web Search and Data Mining (WSDM), 2021.
• Identity-Aware Graph Neural Networks. J. You, J Gomes-Selman, R. Ying, J. Leskovec. Conference on Artificial Intelligence (AAAI), 2021.
• On the Opportunities and Risks of Foundation Models. R. Bommasani, et al. arXiv, 2021.

2020

• Mobility network models of COVID-19 explain inequities and inform reopening. S. Chang, E. Pierson, P. W. Koh, J. Gerardin, B. Redbird, D. Grusky, J. Leskovec. Nature, 2020.
  [Project website, code, data and the model] [Commentary by K. Ma and M. Lipsitch.]
• MARS: discovering novel cell types across heterogeneous single-cell experiments. M. Brbic, M. Zitnik, S. Wang, A. O. Pisco, R. B. Altman, S. Darmanis, J. Leskovec. Nature Methods, 2020.
• Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs. H. Ren, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2020.
• Design Space for Graph Neural Networks. J. You, R. Ying, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2020.
• Open Graph Benchmark: Datasets for Machine Learning on Graphs. W. Hu, M. Fey, M. Zitnik, Y. Dong, H. Ren, B. Liu, M. Catasta, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2020.
• Coresets for Robust Training of Neural Networks against Noisy Labels. B. Mirzasoleiman, K. Cao, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2020.
• Handling Missing Data with Graph Representation Learning. J. You, X. Ma, D. Y. Ding, M. Kochenderfer, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2020.
• Graph Information Bottleneck. T. Wu, H. Ren, P. Li, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2020.
• Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning. P. Li, Y. Wang, H. Wang, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2020.
• Redundancy-Free Computation for Graph Neural Networks. Z. Jia, S. Lin, R. Ying, J. You, J. Leskovec, A. Aiken. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020.
• PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest. A. Pal, C. Eksombatchai, Y. Zhou, B. Zhao, C. Rosenberg, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020.
• MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. C. Yang, A. Pal, A. Zhai, N. Pancha, J. Han, C. Rosenberg, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020.
• Driver2vec: Driver Identification from Automotive Data. J. Yang, R. Zhao, M. Zhu, D. Hallac, J. Sodnik, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) Workshop on Mining and Learning from Time Series, 2020.
• Learning to Simulate Complex Physics with Graph Networks. A. Sanchez-Gonzalez, J. Godwin, T. Pfaff, R. Ying, J. Leskovec, P. Battaglia. International Conference on Machine Learning (ICML), 2020.
• Coresets for Data-efficient Training of Machine Learning Models. B. Mirzasoleiman, J. Bilmes, J. Leskovec. International Conference on Machine Learning (ICML), 2020.
• Graph Structure of Neural Networks. J. You, J. Leskovec, K. He, S. Xie. International Conference on Machine Learning (ICML), 2020.
• OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation. H. Ren, Y. Zhu, J. Leskovec, A. Anandkumar, A. Garg. Conference on Uncertainty in Artificial Intelligence (UAI), 2020.
• Query2box: Reasoning Over Knowledge Graphs In Vector Space Using Box Embeddings. H. Ren, W. Hu, J. Leskovec. International Conference on Learning Representations (ICLR), 2020.
  [Project website, code and data]
• Strategies For Pre-training Graph Neural Networks. W. Hu, B. Liu, J. Gomes, M. Zitnik, P. Liang, V. Pande, J. Leskovec. International Conference on Learning Representations (ICLR), 2020.
  [Project website, code and data]
• Selection Via Proxy: Efficient Data Selection For Deep Learning. C. Coleman, C. Yeh, S. Mussmann, B. Mirzasoleiman, P. Bailis, P. Liang, J. Leskovec, M. Zaharia. International Conference on Learning Representations (ICLR), 2020.
  [Project website, code and data]
• Expanding Taxonomies with Implicit Edge Semantics. E. Manzoor, R. Li, D. Shrout, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2020.
• Best practices for analyzing large-scale health data from wearables and smartphone apps. J. L. Hicks, T. Althoff, R. Sosic, P. Kuhar, B. Bostjancic, A. C. King, J. Leskovec, S. L. Delp. Nature Digital Medicine, 2020.

2019

• GNNExplainer: Generating Explanations for Graph Neural Networks. R. Ying, D. Bourgeois, J. You, M. Zitnik, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2019.
  [Project website, code and data]
• Hyperbolic Graph Convolutional Neural Networks. I. Chami, R. Ying, C. Re, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2019.
  [Project website, code and data]
• G2SAT: Learning to Generate SAT Formulas. J. You, H. Wu, C. Barrett, R. Ramanujan, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2019.
  [Project website, code and data]
• To Embed or Not: Network Embedding as a Paradigm in Computational Biology. W. Nelson, M. Zitnik, B. Wang, J. Leskovec, A. Goldenberg, R. Sharan. Frontiers in Genetics, 10:381, 2019.
• Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. S. Kumar, X. Zhang, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019.
  [Project website, code and data]
• Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems. H. Wang, F. Zhang, M. Zhang, J. Leskovec, M. Zhao, W. Li, Z. Wang. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019.
• Position-aware Graph Neural Networks. J. You, R. Ying, J. Leskovec. International Conference on Machine Learning (ICML), 2019.
  [Project website and code]
• Predicting the Visual Focus of Attention in Multi-Person Discussion Videos. C. Bai, S. Kumar, J. Leskovec, M. Metzger, J. Nunamaker, V. S. Subrahmanian. International Joint Conference on Artificial Intelligence (IJCAI), 2019.
  [Project website] [Data]
• Predicting Dominance in Multi-person Videos. C. Bai, M. Bolonkin, S. Kumar, J. Leskovec, J. Burgoon, N. Dunbar, V. S. Subrahmanian. International Joint Conference on Artificial Intelligence (IJCAI), 2019.
• How Powerful Are Graph Neural Networks?. K. Xu, W. Hu, J. Leskovec, S. Jegelka. ICLR, 2019. [Project website, code and data]
• Evolution of resilience in protein interactomes across the tree of life. M. Zitnik, R. Sosic, M. Feldman, J. Leskovec. Proceedings of the National Academy of Sciences (PNAS), 2019.
  [Supplementary information] [Project website, code and data]
• Complete the Look: Scene-based Complementary Product Recommendation. W. Kang, E. Kim, J. Leskovec, C. Rosenberg, J. McAuley. CVPR, 2019.
• Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities. M. Zitnik, F. Nguyen, B. Wang, J. Leskovec, A. Goldenberg, M. Hoffman. Information Fusion, 2019.
• Faithful and Customizable Explanations of Black Box Models. H. Lakkaraju, E. Kamar, R. Caruana, J. Leskovec. Conference on AI, Ethics, and Society (AIES), 2019.
• Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. M. Gordon, T. Althoff, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2019.
• Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. J. You, Y. Wang, A. Pal, P. Eksombatchai, C. Rosenberg, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2019.
• Predicting pregnancy using large-scale data from a women’s health tracking mobile application. B. Liu, S. Shi, Y. Wu, D. Thomas, L. Sumul, E. Pierson, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2019.
• Inferring Multidimensional Rates of Aging from Cross-Sectional Data. E. Pierson, P. W. Koh, T. Hashimoto, D. Koller, J. Leskovec, N. Eriksson, P. Liang. Artificial Intelligence and Statistics Conference (AISTATS), 2019.
• The Local Closure Coefficient: A New Perspective On Network Clustering. H. Yin, A. Benson, J. Leskovec. ACM International Conference on Web Search and Data Mining (WSDM), 2019.

2018

• Network enhancement as a general method to denoise weighted biological networks. B. Wang, A. Pourshafeie, M. Zitnik, J. Zhu, C. D. Bustamante, S. Batzoglou, J Leskovec. Nature Communications, 2018.
  [Project website, code and data]
• Embedding Logical Queries on Knowledge Graphs. W. Hamilton, P. Bajaj, M. Zitnik, D. Jurafsky, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2018.
• Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation. J. You, B. Liu, R. Ying, V. Pande, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2018.
  [Code]
• Hierarchical Graph Representation Learning with Differentiable Pooling. R. Ying, J. You, C. Morris, X. Ren, W. Hamilton, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2018.
• Dynamic Network Model from Partial Observations. E. Ghalebi, B. Mirzasoleiman, R. Grosu, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2018.
• Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data. D. Hallac, S. Bhooshan, M. Chen, K. Abida, R. Sosic, J. Leskovec. IEEE International Conference on Intelligent Transportation Systems (ITSC), 2018.
• Prioritizing Network Communities. M. Zitnik, R. Sosic, J. Leskovec. Nature Communications, 2018.
  [Project website, code and data]
• GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models. J. You, R. Ying, X. Ren, W. L. Hamilton, J. Leskovec. International Conference on Machine Learning (ICML), 2018.
  [Project website, code and data]
• Graph Convolutional Neural Networks for Web-Scale Recommender Systems. R. Ying, R. He, K. Chen, P. Eksombatchai, W. L. Hamilton, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018.
• Learning Structural Node Embeddings via Diffusion Wavelets. C. Donnat, M. Zitnik, D. Hallac, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018.
  [Project website, code and data]
• Higher-Order Clustering in Networks. H. Yin, A. Benson, J. Leskovec. Physical Review E 97 052306 (PRE), 2018.
• Modeling Polypharmacy Side Effects with Graph Convolutional Networks. M. Zitnik, M. Agrawal, J. Leskovec. Bioinformatics, 2018.
• Do Diffusion Protocols Govern Cascade Growth? J. Cheng, J. Kleinberg, J. Leskovec, D. Liben-Nowell, B. State, K. Subbian, L. Adamic. AAAI International Conference on Weblogs and Social Media (ICWSM), 2018.
• Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time. C. Eksombatchai, P. Jindal, J. Z. Liu, Y. Liu, R. Sharma, C. Sugnet, M. Ulrich, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2018.
• Community Interaction and Conflict on the Web. S. Kumar, W. Hamilton, J. Leskovec, D. Jurafsky. ACM International Conference on World Wide Web (WWW), 2018.
  [Project website, code and data]
• Modeling Interdependent and Periodic Real-World Action Sequences. T. Kurashima, T. Althoff, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2018.
  [Project website and code]
• I’ll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application. Z. Lin, T. Althoff, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2018.
• Modeling Individual Cyclic Variation in Human Behavior. E. Pierson, T. Althoff, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2018.
• Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems. R. Iglesias, F. Rossi, K. Wang, D. Hallac, J. Leskovec, M. Pavone. International Conference on Robotics and Automation (ICRA), 2018.
• Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis. F. S. Lu, S. Hou, K. Baltrusaitis, M. Shah, J. Leskovec, R. Sosic, J. Hawkins, J. Brownstein, G. Conidi, J. Gunn, J. Gray, A. Zink, M. Santillana. JMIR Public Health and Surveillance, 2018.
• Large-scale analysis of disease pathways in the human interactome. M. Agrawal, M. Zitnik, J. Leskovec. Pacific Symposium on Biocomputing (PSB), 2018.

2017

• Representation Learning on Graphs: Methods and Applications. W. Hamilton, R. Ying, J. Leskovec. IEEE Data Engineering Bulletin, 2017.
• Human Decisions and Machine Predictions. J. Kleinberg, H. Lakkaraju, J. Leskovec, J. Ludwig, S. Mullainathan. Quarterly Journal of Economics, 2017.
• Large-scale physical activity data reveal worldwide activity inequality. T. Althoff, R. Sosic, J. L. Hicks, A. C. King, S. L. Delp, J. Leskovec. Nature, 547.7663, 2017.
  [Project website] [Data]
• Predicting multicellular function through multi-layer tissue networks. M. Zitnik, J. Leskovec. Bioinformatics, 33 (14): i190-i198, 2017.
• Inductive Representation Learning on Large Graphs. W. Hamilton, R. Ying, J. Leskovec. Neural Information Processing Systems (NIPS), 2017.
• Local Higher-Order Graph Clustering. H. Yin, A. Benson, D. Gleich, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017.
• The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables. H. Lakkaraju, J. Kleinberg, J. Leskovec, J. Ludwig, S. Mullainathan. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017.
• Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data. D. Hallac, S. Vare, S. Boyd, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017. Best paper runner-up.
  [Code and data]
• Network Inference via the Time-Varying Graphical Lasso. D. Hallac, Y. Park, S. Boyd, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017.
  [Code and data]
• Loyalty in Online Communities. W. Hamilton, J. Zhang, C. Danescu-Niculescu-Mizil, D. Jurafsky, J. Leskovec. AAAI International Conference on Weblogs and Social Media (ICWSM), 2017.
• Community Identity and User Engagement in a Multi-Community Landscape. J. Zhang, W. Hamilton, C. Danescu-Niculescu-Mizil, D. Jurafsky, J. Leskovec. AAAI International Conference on Weblogs and Social Media (ICWSM), 2017.
• Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions. J. Cheng, M. Bernstein, C. Danescu-Niculescu-Mizil, J. Leskovec. Computer-Supported Cooperative Work and Social Computing (CSCW), 2017. Best paper award.
• Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields. Y. Park, D. Hallac, S. Boyd, J. Leskovec. Artificial Intelligence and Statistics Conference (AISTATS), 2017.
• Network Analysis: A novel Method for Mapping Neonatal Acute Transport Patterns in California. S.N. Kunz, J.A.F. Zupancic, J. Rigdon, C.S. Phibbs, H.C. Lee, J.B. Gould, J. Leskovec, J. Profit. Journal of Perinatology, 2017.
• An Army of Me: Sockpuppets in Online Discussion Communities. S. Kumar, J. Cheng, J. Leskovec, V.S. Subrahmanian. ACM International Conference on World Wide Web (WWW), 2017. Best paper award honorable mention.
• How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application. A. Shameli, T. Althoff, A. Saberi, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2017.
• Why We Read Wikipedia. P. Singer, F. Lemmerich, R. West, L. Zia, E. Wulczyn, M. Strohmaier, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2017.
• Understanding Online Collection Growth Over Time: A Case Study of Pinterest. C. Lo, J. Cheng, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2017.
• Predicting Intent Using Activity Logs: How Goal Specificity and Temporal Range Affect User Behavior. J. Cheng, C. Lo, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2017.
• SnapVX: A Network-Based Convex Optimization Solver. D. Hallac, C. Wong, S. Diamond, A. Sharang, R. Sosič, S. Boyd, J. Leskovec. Journal of Machine Learning Research (JMLR), 18(4):1−5, 2017.
• Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior. T. Althoff, P. Jindal, J. Leskovec. ACM International Conference on Web Search and Data Mining (WSDM), 2017.
• Motifs in Temporal Networks. A. Paranjape, A. Benson, J. Leskovec. ACM International Conference on Web Search and Data Mining (WSDM), 2017.
  [Code and data]

2016

• Higher-order Organization of Complex Networks. A. Benson, D. Gleich, J. Leskovec. Science, vol. 353, no. 6295, pp. 163-166, 2016.
  [Code and data] [Supplementary materials] [Slides]
• Mining Big Data to Extract Patterns and Predict Real-Life Outcomes. M. Kosinski, Y. Wang, H. Lakkaraju, J. Leskovec. Psychological Methods, 2016.
• Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making. H. Lakkaraju, J. Leskovec. Neural Information Processing Systems (NIPS), 2016.
• Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health. T. Althoff, K. Clark, J. Leskovec. Transactions of the Association for Computational Linguistics (TACL), 4, 2016.
  [Data]
• node2vec: Scalable Feature Learning for Networks. A. Grover, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016.
  [Code and data]
• Interpretable Decision Sets: A Joint Framework for Description and Prediction. H. Lakkaraju, S. Bach, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016.
  [Code]
• Understanding Behaviors that Lead to Purchasing: A Case Study of Pinterest. C. Lo, D. Frankowski, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016.
• SNAP: A General Purpose Network Analysis and Graph Mining Library. J. Leskovec, R. Sosič. ACM Transactions on Intelligent Systems and Technology (TIST), vol. 8, no. 1, 2016.
  [Project website]
• Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. W. Hamilton, J. Leskovec, D. Jurafsky. Empirical Methods on Natural Language Processing (EMNLP), 2016.
  [Project website with data and code]
• Cultural Shift or Linguistic Drift? Comparing Two Computational Models of Semantic Change. W. Hamilton, J. Leskovec, D. Jurafsky. Empirical Methods on Natural Language Processing (EMNLP), 2016.
  [Project website with data and code]
• Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. W. Hamilton, J. Leskovec, D. Jurafsky. Association for Computational Linguistics (ACL), 2016.
  [Project website with data and code]
• Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes. S. Kumar, R. West, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2016.
  [Project website with data]
• Growing Wikipedia Across Languages via Recommendation. E. Wulczyn, R. West, J. Leskovec, L. Zia. ACM International Conference on World Wide Web (WWW), 2016. Best paper nomination.
• Do Cascades Recur?. J. Cheng, L. Adamic, J. Kleinberg, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2016.
• Improving Website Hyperlink Structure Using Server Logs. A. Paranjape. R. West, L. Zia, J. Leskovec. ACM International Conference on Web Search and Data Mining (WSDM), 2016.
• Driver Identification Using Automobile Sensor Data from a Single Turn. D. Hallac, A. Sharang, R. Stahlmann, A. Lamprecht, M. Huber, M. Roehder, R. Sosic, J. Leskovec IEEE International Conference on Intelligent Transportation Systems (ITSC), 2016.

2015

• Information Cartography. D. Shahaf, C. Guestrin, E. Horvitz, J. Leskovec. Communications of the ACM (CACM), 2015.
• Network Lasso: Clustering and Optimization in Large Graphs. D. Hallac, J. Leskovec, S. Boyd. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015.
• SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity. Q. Zhao, M. Erdogdu, H. He, A. Rajaraman, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015.
• Inferring Networks of Substitutable and Complementary Products. J. McAuley, R. Pandey, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015.
• Antisocial Behavior in Online Discussion Communities. J. Cheng, C. Danescu-Niculescu-Mizil, J. Leskovec. AAAI International Conference on Weblogs and Social Media (ICWSM), 2015. Best paper award honorable mention.
• Geospatial Structure of a Planetary-Scale Social Network. J. Leskovec, E. Horvitz. IEEE Transactions on Computational Social Systems (TCSS), 2015.
• Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org. T. Althoff, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2015.
• Mining Missing Hyperlinks from Human Navigation Traces: A Case Study of Wikipedia. R. West, A. Paranjape, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2015.
• QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns. V. Niculae, C. Suen, J. zhang, C. Danescu-Niculescu-Mizil, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2015.
• Global Diffusion via Cascading Invitations: Structure, Growth, and Homophily. A. Anderson, D. Huttenlocher, J. Kleinberg, J. Leskovec, M. Tiwari. ACM International Conference on World Wide Web (WWW), 2015.
• Ringo: Interactive Graph Analytics on Big-Memory Machines. Y. Perez, R. Sosič, A. Banerjee, R. Puttagunta, M. Raison, P. Shah, J. Leskovec. SIGMOD 2015. Best demonstration award.
• Tensor Spectral Clustering for Partitioning Higher-order Network Structures. A. Benson, D. Gleich, J. Leskovec. SIAM International Conference on Data Mining (SDM) 2015.
• A Bayesian Framework for Modeling Human Evaluations. H. Lakkaraju, J. Leskovec, J. Kleinberg, S. Mullainathan. SIAM International Conference on Data Mining (SDM) 2015.

2014

• Overlapping Communities Explain Core–Periphery Organization of Networks. J. Yang, J. Leskovec. Proceedings of the IEEE, vol. 102, no. 12, pp. 1892-1902, 2014.
• Exploiting Social Network Structure for Person-to-Person Sentiment Analysis. R. West, H. S. Paskov, J. Leskovec, C. Potts. Transactions of the Association for Computational Linguistics (TACL), 2, 2014.
  [Data] [Supplementary material]
• Uncovering the Structure and Temporal Dynamics of Information Propagation. M. Gomez-Rodriguez, J. Leskovec, D. Balduzzi, B. Schoelkopf. Network Science, 2014.
• Discovering Social Circles in Ego Networks. J. McAuley, J. Leskovec. ACM Transactions on Knowledge Discovery from Data (TKDD), 2014.
• How Community Feedback Shapes User Behavior. J. Cheng, C. Danescu-Niculescu-Mizil, J. Leskovec. AAAI International Conference on Weblogs and Social Media (ICWSM), 2014.
• Can Cascades be Predicted?. J. Cheng, L. Adamic, A. Dow, J. Kleinberg, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2014.
• Engaging with Massive Online Courses. A. Anderson, D. Huttenlocher, J. Kleinberg, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2014. Best paper runner-up.
• The Bursty Dynamics of the Twitter Information Network. S. Myers, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2014.
• Finding Progression Stages in Time-evolving Event Sequences. J. Yang, J. McAuley, J. Leskovec, P. LePendu, N. Shah. ACM International Conference on World Wide Web (WWW), 2014.
• Detecting Cohesive and 2-mode Communities in Directed and Undirected Networks. J. Yang, J. McAuley, J. Leskovec. ACM International Conference on Web Search and Data Mining (WSDM), 2014.
• The Last Click: Why Users Give up Information Network Navigation. A. Scaria, R. Philip, R. West, J. Leskovec. ACM International Conference on Web Search and Data Mining (WSDM), 2014.

2013

• Nonparametric Multi-group Membership Model for Dynamic Networks. M. Kim, J. Leskovec. Neural Information Processing Systems (NIPS), 2013.
• Community Detection in Networks with Node Attributes. J. Yang, J. McAuley, J. Leskovec. IEEE International Conference On Data Mining (ICDM), 2013.
• Hidden Factors and Hidden Topics: Understanding Rating Dimensions with Review Text. J. McAuley, J. Leskovec. ACM Conference on Recommender Systems (RecSys), 2013.
• Information Cartography: Creating Zoomable, Large-Scale Maps of Information. D. Shahaf, J. Yang, C. Suen, J. Jacobs, H. Wang, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2013.
• A computational approach to politeness with application to social factors. C. Danescu-Niculescu-Mizil, M. Sudhof, D. Jurafsky, J. Leskovec, C. Potts. Annual Meeting of the Association for Computational Linguistics (ACL), 2013.
  [Data]
• Modeling Information Propagation with Survival Theory. M. Gomez-Rodriguez, J. Leskovec, B. Schoelkopf. International Conference on Machine Learning (ICML), 2013.
  [Website] [Data]
• What’s in a name? Understanding the Interplay between Titles, Content, and Communities in Social Media. H. Lakkaraju, J. McAuley, J. Leskovec. AAAI International Conference on Weblogs and Social Media (ICWSM), 2013.
  [Data] [New Scientist]
• Steering User Behavior With Badges. A. Anderson, D. Huttenlocher, J. Kleinberg, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2013.
  [Data]
• No Country for Old Members: User lifecycle and linguistic change in online communities. C. Danescu-Niculescu-Mizil, R. West, D. Jurafsky, J. Leskovec, C. Potts. ACM International Conference on World Wide Web (WWW), 2013. Best paper award.
  [Data]
• From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise through Online Reviews. J. McAuley, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2013.
  [Data]
• NIFTY: A System for Large Scale Information Flow Tracking and Clustering. C. Suen, S. Huang, C. Eksombatchai, R. Sosič, J. Leskovec. ACM International Conference on World Wide Web (WWW), 2013.
  [NIFTY in action!]
• Structure and Dynamics of Information Pathways in Online Media. M. Gomez-Rodriguez, J. Leskovec, B. Schoelkopf. ACM International Conference on Web Search and Data Mining (WSDM), 2013.
  [Website] [Data]
• Overlapping Community Detection at Scale: A Nonnegative Matrix Factorization Approach. J. Yang, J. Leskovec. ACM International Conference on Web Search and Data Mining (WSDM), 2013.

2012

• Community-Affiliation Graph Model for Overlapping Community Detection. J. Yang, J. Leskovec. IEEE International Conference On Data Mining (ICDM), 2012.
• Defining and Evaluating Network Communities based on Ground-truth. J. Yang, J. Leskovec. IEEE International Conference On Data Mining (ICDM), 2012.
  [Data]
• Clash of the Contagions: Cooperation and Competition in Information Diffusion. S. Myers, J. Leskovec. IEEE International Conference On Data Mining (ICDM), 2012.
• Learning Attitudes and Attributes from Multi-Aspect Reviews. J. McAuley, J. Leskovec, D. Jurafsky. IEEE International Conference On Data Mining (ICDM), 2012.
  [Data]
• Learning to Discover Social Circles in Ego Networks. J. McAuley, J. Leskovec. Neural Information Processing Systems (NIPS), 2012.
  [Extended version] [Data] [MIT TechReview] [Wired]
• Image Labeling on a Network: Using Social-Network Metadata for Image Classiffcation. J. McAuley, J. Leskovec. European Conference on Computer Vision (ECCV), 2012.
  [Data]
• Information Diffusion and External Influence in Networks. S. Myers, C. Zhu, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2012.
• Discovering Value from Community Activity on Focused Question Answering Sites: A Case Study of Stack Overflow. A. Anderson, D. Huttenlocher, J. Kleinberg, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2012.
  [Data]
• Latent Multi-group Membership Graph Model. M. Kim, J. Leskovec. International Conference on Machine Learning (ICML), 2012.
• Multiplicative Attribute Graph Model of Real-World Networks. M. Kim, J. Leskovec. Internet Mathematics, vol. 8, no. 1-2, pp. 113-160, 2012.
• Measurement error in network data: A re-classification. D. J. Wang, X. Shi, D. McFarland, J. Leskovec. Social Networks, 2012.
• Automatic versus Human Navigation in Information Networks. R. West, J. Leskovec. AAAI International Conference on Weblogs and Social Media (ICWSM), 2012.
• Human Wayfinding in Information Networks. R. West, J. Leskovec. ACM WWW International Conference on World Wide Web (WWW), 2012.
• Effects of User Similarity in Social Media. A. Anderson, D. Huttenlocher, J. Kleinberg, J. Leskovec. ACM International Conference on Web Search and Data Mining (WSDM), 2012.
  [Data]
• The Life and Death of Online Groups: Predicting Group Growth and Longevity. S. Kairam, D. Wang, J. Leskovec. ACM International Conference on Web Search and Data Mining (WSDM), 2012.
• Inferring Networks of Diffusion and Influence. M. Gomez-Rodriguez, J. Leskovec, A. Krause. ACM Transactions on Knowledge Discovery from Data (TKDD), 2012.
  Journal version of our KDD '10 paper.

2011

• Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model. M. Kim, J. Leskovec. Conference on Uncertainty in Artificial Intelligence (UAI), 2011.
• Friendship and Mobility: User Movement In Location-Based Social Networks. E. Cho, S. A. Myers, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2011.
• Sentiment Flow Through Hyperlink Networks. M. Miller, C. Sathi, D. Wiesenthal, J. Leskovec, C. Potts. AAAI International Conference on Weblogs and Social Media (ICWSM), 2011.
• The Role of Social Networks in Online Shopping: Information Passing, Price of Trust, and Consumer Choice. S. Guo, M. Wang, J. Leskovec. ACM Conference on Electronic Commerce (EC), 2011.
• Dynamics of Bidding in a P2P Lending Service: Effects of Herding and Predicting Loan Success. S. Ceyhan, X. Shi, J. Leskovec. ACM WWW International Conference on World Wide Web (WWW), 2011.
• The Network Completion Problem: Inferring Missing Nodes and Edges in Networks. M. Kim, J. Leskovec. SIAM International Conference on Data Mining (SDM) 2011.
• Supervised Random Walks: Predicting and Recommending Links in Social Networks. L. Backstrom, J. Leskovec. ACM International Conference on Web Search and Data Mining (WSDM), 2011.
• Correcting for Missing Data in Information Cascades. E. Sadikov, M. Medina, J. Leskovec, H. Garcia-Molina. ACM International Conference on Web Search and Data Mining (WSDM), 2011. Best student paper award.
  [Video]
• Patterns of Temporal Variation in Online Media. J. Yang, J. Leskovec. ACM International Conference on Web Search and Data Mining (WSDM), 2011.
  [Video]
• HADI: Mining Radii of Large Graphs. U. Kang, C. E. Tsourakakis, A. P. Appel, C. Faloutsos, J. Leskovec. ACM Transactions on Knowledge Discovery from Data (TKDD), 5(2), 2011.

2010

• Modeling Information Diffusion in Implicit Networks. J. Yang, J. Leskovec. IEEE International Conference On Data Mining (ICDM), 2010. Best application paper award.
• Multiplicative Attribute Graph Model of Real-World Networks. M. Kim, J. Leskovec. 7th Workshop on Algorithms and Models for the Web Graph (WAW), 2010.
• On the Convexity of Latent Social Network Inference. S. A. Myers, J. Leskovec. Neural Information Processing Systems (NIPS), 2010.
• Inferring Networks of Diffusion and Influence. M. Gomez-Rodriguez, J. Leskovec, A. Krause. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2010. Best research paper award honorable mention.
  [Website] [Data] [Extended version]
• Citing for High Impact. X. Shi, J. Leskovec, D. A. McFarland. Joint Conference on Digital Libraries (JCDL), 2010.
• Governance in Social Media: A case study of the Wikipedia promotion process. J. Leskovec, D. Huttenlocher, J. Kleinberg. AAAI International Conference on Weblogs and Social Media (ICWSM), 2010.
  [Video]
• Predicting Positive and Negative Links in Online Social Networks. J. Leskovec, D. Huttenlocher, J. Kleinberg. ACM WWW International Conference on World Wide Web (WWW), 2010.
  [Video]
• Empirical Comparison of Algorithms for Network Community Detection. J. Leskovec, K. Lang, M. Mahoney. ACM WWW International Conference on World Wide Web (WWW), 2010.
  [Video]
• Kronecker Graphs: An approach to modeling networks. J. Leskovec, D. Chakrabarti, J. Kleinberg, C. Faloutsos, Z. Ghahramani. Journal of Machine Learning Research (JMLR) 11(Feb):985-1042, 2010.
• Signed Networks in Social Media. J. Leskovec, D. Huttenlocher, J. Kleinberg. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 2010.
• Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations. U Kang, C. Tsourakakis, A. Appel, C. Faloutsos, J. Leskovec. SIAM International Conference on Data Mining (SDM) 2010.

2009

• Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters. J. Leskovec, K. Lang, A. Dasgupta, M. Mahoney. Internet Mathematics, vol. 6, no. 1, pp. 29-123, 2009.
  [Video]
• Meme-tracking and the Dynamics of the News Cycle. J. Leskovec, L. Backstrom, J. Kleinberg. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2009.
  [Website] [Video] [Slides] [Data]
• Modeling blog dynamics. M. Goetz, J. Leskovec, M. Mcglohon, C. Faloutsos. AAAI Conference on Weblogs and Social Media (ICWSM), 2009.
• The Battle of the Water Sensor Networks (BWSN): A Design Challenge for Engineers and Algorithms. A. Ostfeld et al. Journal of Water Resources Planning and Management (JWRPM), 2009.

2008

• Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks. A. Krause, J. Leskovec, C. Guestrin, J. VanBriesen, C. Faloutsos. Journal of Water Resources Planning and Management (JWRPM), 2008. Best research paper award.
• Dynamics of large networks. J. Leskovec. PhD Dissertation, Machine Learning Department, Carnegie Mellon University, Technical report CMU-ML-08-111, 2008.
  [Video] [Slides]
• Microscopic Evolution of Social Networks. J. Leskovec, L. Backstrom, R. Kumar, A. Tomkins. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2008.
  [Video]
• Mobile Call Graphs: Beyond Power-Law and Lognormal Distributions. M. Seshadri, S. Machiraju, A. Sridharan, J. Bolot, C. Faloutsos, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2008.
• Statistical Properties of Community Structure in Large Social and Information Networks. J. Leskovec, K. Lang, A. Dasgupta, M. Mahoney. International World Wide Web Conference (WWW), 2008.
  [Video]
• Planetary-Scale Views on a Large Instant-Messaging Network. J. Leskovec, E. Horvitz. International World Wide Web Conference (WWW), 2008.
  [Extended version]
• Monitoring Network Evolution using MDL. J. Ferlez, C. Faloutsos, J. Leskovec, D. Mladenic, M. Grobelnik. IEEE International Conference on Data Engineering (ICDE), 2008.
• Epidemic Thresholds in Real Networks. D. Chakrabarti, Y. Wang, C. Wang, J. Leskovec, C. Faloutsos. ACM Transactions on Information and System Security (TISSEC), 10(4), 2008.

2007

• Cost-effective Outbreak Detection in Networks. J. Leskovec, A. Krause, C. Guestrin, C. Faloutsos, J. VanBriesen, N. Glance. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2007. Best student paper award.
  [Extended version] [Video] [Slides] [Website]
• Scalable Modeling of Real Graphs using Kronecker Multiplication. J. Leskovec, C. Faloutsos. International Conference on Machine Learning (ICML), 2007.
  [Video] [Slides]
• Web Projections: Learning from Contextual Subgraphs of the Web. J. Leskovec, S. Dumais, E. Horvitz. International World Wide Web Conference (WWW), 2007.
  [Slides]
• The Dynamics of Viral Marketing. J. Leskovec, L. Adamic, B. Huberman. ACM Transactions on the Web (TWEB), 1(1), 2007.
• Graph Evolution: Densification and Shrinking Diameters. J. Leskovec, J. Kleinberg, C. Faloutsos. ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 1, no. 1, 2007.
• Cascading Behavior in Large Blog Graphs. J. Leskovec, M. McGlohon, C. Faloutsos, N. Glance, M. Hurst. SIAM International Conference on Data Mining (SDM) 2007.
• Information Survival Threshold in Sensor and P2P Networks. D. Chakrabarti, J. Leskovec, C. Faloutsos, S. Madden, C. Guestrin, M. Faloutsos. IEEE Conference on Computer Communications (INFOCOM), 2007.

2006

• Sampling from Large Graphs. J. Leskovec, C. Faloutsos. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2006.
• Data Association for Topic Intensity Tracking. A. Krause, J. Leskovec, C. Guestrin. International Conference on Machine Learning (ICML), 2006.
  [Slides]
• The Dynamics of Viral Marketing. J. Leskovec, Lada Adamic, Bernardo Huberman. ACM Conference on Electronic Commerce (EC), 2006.
  [Extended version] [Slides]
• Patterns of Influence in a Recommendation Network. J. Leskovec, A. Singh, J. Kleinberg. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2006.
  [Slides]

2005

• Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication. J. Leskovec, D. Chakrabarti, J. Kleinberg, C. Faloutsos. European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2005.
  [Slides]
• Graphs over Time: Densification Laws, Shrinking Diameters and Possible Explanations. J. Leskovec, J. Kleinberg, C. Faloutsos. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2005. Best research paper award.
  [Slides]
• Impact of Linguistic Analysis on the Semantic Graph Coverage and Learning of Document Extracts. J. Leskovec, N. Milic-Frayling, M. Grobelnik. National Conference on Artificial Intelligence (AAAI), 2005.
  [Slides]
• Semantic Text Features from Small World Graphs. J. Leskovec, J. Shawe-Taylor. Subspace, Latent Structure and Feature Selection techniques: Statistical and Optimization perspectives Workshop, Slovenia, 2005.
  [Slides]
• Extracting Summary Sentences Based on the Document Semantic Graph. J. Leskovec, N. Milic-Frayling, M. Grobelnik. Microsoft Research Technical Report MSR-TR-2005-07, 2005.

2004 and prior

• Learning Sub-structures of Document Semantic Graphs for Document Summarization. J. Leskovec, M. Grobelnik, N. Milic-Frayling. Workshop on Link Analysis and Group Detection (LinkKDD), 2004.
  [Slides]
• Linear Programming boost for Uneven Datasets. J. Leskovec, J. Shawe-Taylor. International Conference on Machine Learning (ICML), 2003.
  [Slides]
• The Download Estimation task on KDD Cup 2003. J. Brank and J. Leskovec. SIGKDD Explorations, December 2003. Winner of the KDD Cup
  [Slides]
• KDD Cup 2003: The Download Estimation task. J. Brank and J. Leskovec. Jozef Stefan Institute Technical Report, October 2003.
  [Slides] [Website]
• Govorec - sistem za slovensko govorjenje racunalniskih besedil. J. Leskovec. Information Society, 2001.
• Detection of Human Bodies using Computer Analysis of a Sequence of Stereo Images. J. Leskovec. 11th European Union Contest for Young Scientists, 1999.