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» Significance-Driven Graph Clustering
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KDD
2009
ACM
204views Data Mining» more  KDD 2009»
16 years 5 months ago
DOULION: counting triangles in massive graphs with a coin
Counting the number of triangles in a graph is a beautiful algorithmic problem which has gained importance over the last years due to its significant role in complex network analy...
Charalampos E. Tsourakakis, U. Kang, Gary L. Mille...
CAAN
2004
Springer
15 years 10 months ago
Bipartite Graphs as Models of Complex Networks
It appeared recently that the classical random graph model used to represent real-world complex networks does not capture their main properties. Since then, various attempts have ...
Jean-Loup Guillaume, Matthieu Latapy
ISM
2006
IEEE
129views Multimedia» more  ISM 2006»
15 years 4 months ago
A Graph-Based Approach for Modeling and Indexing Video Data
In this work, we propose new graph-based data model and indexing to organize and manage video data. To consider spatial and temporal characteristics of video, we introduce a new g...
JeongKyu Lee
CGF
2008
165views more  CGF 2008»
15 years 4 months ago
Visual Inspection of Multivariate Graphs
Most graph visualization techniques focus on the structure of graphs and do not offer support for dealing with node attributes and edge labels. To enable users to detect relations...
A. Johannes Pretorius, Jarke J. van Wijk
142
Voted
CVPR
2008
IEEE
16 years 6 months ago
Graph commute times for image representation
We introduce a new image representation that encompasses both the general layout of groups of quantized local invariant descriptors as well as their relative frequency. A graph of...
Nikos Paragios, Regis Behmo, Véronique Prin...