Projects

  • AGM : Model-based Approach to Detecting Densely Overlapping Communities in Networks
  • ConNIe : Inferring Networks of Diffusion and Influence
  • Counseling : Counseling Conversation Analysis
  • CRank : Prioritizing Network Communities
  • Decagon : Graph Neural Network for Multirelational Link Prediction
  • GraphWave : Learning Structural Node Embeddings
  • Higher-order : Higher-order organization of complex networks
  • InfoPath : Structure and Dynamics of Information Pathways in On-line Media
  • LIM : Linear Influence Model
  • NCP : Network Community Profile
  • MAPPR : Local Higher-ordering Clustering with MAPPR method
  • MAMBO : Construction and Representation of Multimodal Biomedical Networks
  • NETINF : Inferring Networks of Diffusion and Influence
  • NIFTY : A System for Large Scale Information Flow Tracking and Clustering
  • node2vec : Scalable Feature Learning for Networks
  • QUOTUS : The Structure of Political Media Coverage as Revealed by Quoting Patterns
  • OhmNet : Feature Learning in Multi-Layer Tissue Networks
  • Pathways : Disease Pathways in the Human Interactome
  • Ringo : In-Memory Graph Exploration System
  • SEISMIC : A Self-Exciting Point Process Model for Predicting Tweet Popularity
  • SNAP : Stanford Network Analysis Platform
  • Snap.py : SNAP for Python
  • SnapVX : Network-Based Optimization Solver

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