KDD 2013
- Research Session 3: Big data frameworks
- #52 TurboGraph: A Fast Parallel Graph Engine Handling Billion-scale Graphs in a Single PC
- Research Session 4: Graph mining
- #583 Denser than the densest subgraph: extracting optimal quasi-cliques with quality guarantees
- #1083 Redundancy-Aware Maximal Cliques
- Research Session 11: Graph clustering
- #569 Selective Sampling on Graphs for Classification
- #93 Flexible and Robust Co-regularized Multi-Domain Graph Clustering
- #1186 Clustered Graph Randomization: Network Exposure to Multiple Universes
- Research Session 12: Diffusion in social networks
- #556 Social Influence Based Clustering of Heterogeneous Information Networks
- #1136 Confluence: Conformity Influence in Large Social Networks
- #1006 Information Cascade at Group Scale
- #120 Extracting Social Events for Learning Better Information Diffusion Models
- Research Session 15: Social and information networks
- Research Session 16: Graph mining and sampling
- #752 Optimal Algorithms for Network Inference
- #1148 Mining Discriminative Subgraphs from Global-state Networks
おまけ
- #543 Succinct Interval-Splitting Tree for Scalable Similarity Search of Compound-Protein Pairs with Property Constraints
- Authors: Yasuo Tabei, JST; Akihiro Kishimoto, IBM Research, Dublin; Masaaki Kotera, Kyoto University; Yoshihiro Yamanishi, Kyushu university
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