I am Associate Professor of Computer Science at Stanford University.
My research focuses on mining and modeling large social and information networks, their evolution, and diffusion of information and influence over them. Problems I investigate are motivated by large scale data, the Web and on-line media.
I am also Chief Scientists at Pinterest, where I am focusing on machine learning problems.
- Higher-order Organization of Complex Networks,
Science, 2016. [Data and code]
- Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health, TACL, 2016. [Data]
- node2vec: Scalable Feature Learning for Networks,
KDD, 2016. [Code]
- Interpretable Decision Sets: A Joint Framework for Description and Prediction, KDD, 2016.
- Understanding Behaviors that Lead to Purchasing: A Case Study of Pinterest, KDD, 2016.
- SNAP: A General Purpose Network Analysis and Graph Mining Library, ACM TIST, 2016.
- Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change, ACL, 2016. [Data and code]
- Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes, WWW, 2016. [Data]
- Growing Wikipedia Across Languages via Recommendation, WWW, 2016.
- Do Cascades Recur?, WWW, 2016.
- Improving Website Hyperlink Structure Using Server Logs, WSDM, 2016.