Representative Previous Work
Slides4
Dept. of Computer Science Rutgers Node and Graph Similarity: Theory and Applications Danai Koutra (CMU) Tina Eliassi-Rad (Rutgers) Christos Faloutsos (CMU)
Dept. of Computer Science Rutgers Node Similarity, Graph Similarity and Matching: Theory and Applications Danai Koutra (CMU) Tina Eliassi-Rad (Rutgers)
Kronecker Graphs: An Approach to Modeling Networks Jure Leskovec, Deepayan Chakrabarti, Jon Kleinberg, Christos Faloutsos, Zoubin Ghahramani Presented.
Graph Classification. Classification Outline Introduction, Overview Classification using Graphs –Graph classification – Direct Product Kernel Predictive.
Representative Previous Work ISOMAP: Geodesic Distance Preserving J. Tenenbaum et al., 2000 LLE: Local Neighborhood Relationship Preserving S. Roweis &
Learning to Reason with Extracted Information
Kronecker Graphs: An Approach to Modeling Networks
Graph Classification