Projects

• Anomaly Ranking of Attributed Neighborhoods
  We introduce Normality, an extension of Newman's Assortativity which can be efficiently optimized for very high dimensional attribute vectors.
• DeepWalk: Online Learning of Social Representations
  DeepWalk uses deep learning techniques to learn representations of graphs for semi-supervised learning problems.
• Focused Clustering and Outlier Detection in Large Attributed Graphs
  Focused Clustering examines user-oriented clustering and anomaly detection in attributed graphs.

This page is under construction - please see my old website for a full list of projects.