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» A Fast Multi-scale Method for Drawing Large Graphs
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KDD
2007
ACM
227views Data Mining» more  KDD 2007»
14 years 7 months ago
Fast best-effort pattern matching in large attributed graphs
We focus on large graphs where nodes have attributes, such as a social network where the nodes are labelled with each person's job title. In such a setting, we want to find s...
Hanghang Tong, Christos Faloutsos, Brian Gallagher...
IV
2002
IEEE
130views Visualization» more  IV 2002»
14 years 11 days ago
Spring Embedder Preprocessing for WWW Visualization
We present a preprocessor for the spring embedder graph drawing method and show its use in speeding up the automatic layout of three-dimensional visualizations of WWW sites. Sprin...
Paul Mutton, Peter Rodgers
KDD
2008
ACM
165views Data Mining» more  KDD 2008»
14 years 7 months ago
Colibri: fast mining of large static and dynamic graphs
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...
Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, P...
ICDM
2008
IEEE
222views Data Mining» more  ICDM 2008»
14 years 1 months ago
GRAPHITE: A Visual Query System for Large Graphs
We present Graphite, a system that allows the user to visually construct a query pattern, finds both its exact and approximate matching subgraphs in large attributed graphs, and ...
Duen Horng Chau, Christos Faloutsos, Hanghang Tong...
CIKM
2009
Springer
14 years 2 months ago
Fast shortest path distance estimation in large networks
In this paper we study approximate landmark-based methods for point-to-point distance estimation in very large networks. These methods involve selecting a subset of nodes as landm...
Michalis Potamias, Francesco Bonchi, Carlos Castil...