Related Work on Graph Based Data Mining
People
William Eberle, Tennessee Technological University
Jiawei Han, University of
Illinois at Urbana-Champaign
George Karypis, University of
Minnesota
Hiroshi
Motoda, Osaka University
Takashi
Washio, Osaka University
Software
GBAD: Graph-Based Anomaly
Detection, Tennessee Technological University
gSpan: Frequent
Subgraph Miner, University of Illinois at Urbana-Champaign
FSG: Frequent
Subgraph Miner (part of the PAFI system), University of Minnesota
METIS: Graph
Partitioner, University of Minnesota
Publications
L. Dehaspe, H. Toivonen and R. King, Finding Frequent
Substructures in Chemical Compounds, Proceedings of the International
Conference on Knowledge Discovery and Data Mining (KDD), 1998.
M. Deshpande, M. Kuramochi and G. Karypis, Frequent
Sub-structure Based Approaches for Classifying Chemical Compounds, SIAM
International Conference on Data Mining, 2003.
S. Dzeroski and L. De Raedt (editors), SIGKDD
Explorations Special Issue on Multi-Relational Data Mining, SIGKDD
Explorations, Volume 5, Issue 1, 2003.
M. Kuramochi and G. Karypis, Finding Frequent
Patterns in a Large Sparse Graph, SIAM International Conference on Data
Mining, 2004.
M. Kuramochi and G. Karypis, An Efficient
Algorithm for Discovering Frequent Subgraphs, IEEE Transactions on
Knowledge and Data Engineering, 2002.
M. Liquiere and J. Sallantin, Structural Machine
Learning with Galois Lattice and Graphs, Proceedings of the International
Conference on Machine Learning (ICML), 1998.
S. Nijssen and J. Kok, Faster Association
Rules for Multiple Relations, Proceedings of the International Joint
Conference on Artificial Intelligence (IJCAI), 2001.
T. Washio and H. Motoda, State of the Art of
Graph-based Data Mining, SIGKDD Explorations Special Issue on
Multi-Relational Data Mining, Volume 5, Issue 1, 2003.
X. Yan and J. Han,
CloseGraph: Mining Closed Frequent Graph Patterns, Proceedings of the
International Conference on Knowledge Discovery and Data Mining (KDD), 2003.
X. Yan and J. Han,
gSpan: Graph-Based Substructure Pattern Mining, Proceedings of the IEEE
International Conference on Data Mining (IEEE ICDM), 2002.
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