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SIGMOD
2010
ACM
255views Database» more  SIGMOD 2010»
14 years 1 months ago
Large graph processing in the cloud
As the study of graphs, such as web and social graphs, becomes increasingly popular, the requirements of efficiency and programming flexibility of large graph processing tasks c...
Rishan Chen, Xuetian Weng, Bingsheng He, Mao Yang
TVCG
2008
147views more  TVCG 2008»
13 years 8 months ago
Cerebral: Visualizing Multiple Experimental Conditions on a Graph with Biological Context
Systems biologists use interaction graphs to model the behavior of biological systems at the molecular level. In an iterative process, such biologists observe the reactions of livi...
Aaron Barsky, Tamara Munzner, Jennifer L. Gardy, R...
CORR
2011
Springer
217views Education» more  CORR 2011»
13 years 15 days ago
Coarse-Grained Topology Estimation via Graph Sampling
Many online networks are measured and studied via sampling techniques, which typically collect a relatively small fraction of nodes and their associated edges. Past work in this a...
Maciej Kurant, Minas Gjoka, Yan Wang, Zack W. Almq...
APPROX
2011
Springer
242views Algorithms» more  APPROX 2011»
12 years 8 months ago
New Tools for Graph Coloring
How to color 3 colorable graphs with few colors is a problem of longstanding interest. The best polynomial-time algorithm uses n0.2072 colors. There are no indications that colori...
Sanjeev Arora, Rong Ge
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
13 years 10 months ago
Clustering from Constraint Graphs
In constrained clustering it is common to model the pairwise constraints as edges on the graph of observations. Using results from graph theory, we analyze such constraint graphs ...
Ari Freund, Dan Pelleg, Yossi Richter