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SIGMOD
2012
ACM
276views Database» more  SIGMOD 2012»
11 years 11 months ago
SCARAB: scaling reachability computation on large graphs
Most of the existing reachability indices perform well on small- to medium- size graphs, but reach a scalability bottleneck around one million vertices/edges. As graphs become inc...
Ruoming Jin, Ning Ruan, Saikat Dey, Jeffrey Xu Yu
CIKM
2010
Springer
13 years 4 months ago
Mining networks with shared items
Recent advances in data processing have enabled the generation of large and complex graphs. Many researchers have developed techniques to investigate informative structures within...
Jun Sese, Mio Seki, Mutsumi Fukuzaki
VLDB
2007
ACM
155views Database» more  VLDB 2007»
14 years 9 months ago
Towards Graph Containment Search and Indexing
Given a set of model graphs D and a query graph q, containment search aims to find all model graphs g D such that q contains g (q g). Due to the wide adoption of graph models, f...
Chen Chen, Xifeng Yan, Philip S. Yu, Jiawei Han, D...
CL
2012
Springer
11 years 11 months ago
Object swapping challenges: An evaluation of imageSegment
In object-oriented systems, runtime memory is composed of an object graph in which objects refer to other objects. This graph of objects evolves while the system is running. Graph...
Mariano Martinez Peck, Noury Bouraqadi, Sté...
PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
14 years 1 months ago
oddball: Spotting Anomalies in Weighted Graphs
Given a large, weighted graph, how can we find anomalies? Which rules should be violated, before we label a node as an anomaly? We propose the OddBall algorithm, to find such nod...
Leman Akoglu, Mary McGlohon, Christos Faloutsos