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SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
16 years 3 months ago
Top-k Correlative Graph Mining.
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
WPES
2006
ACM
16 years 16 days ago
Private social network analysis: how to assemble pieces of a graph privately
Connections in distributed systems, such as social networks, online communities or peer-to-peer networks, form complex graphs. These graphs are of interest to scientists in field...
Keith B. Frikken, Philippe Golle
TAGT
1994
Springer
154views Graph Theory» more  TAGT 1994»
15 years 10 months ago
Issues in the Practical Use of Graph Rewriting
Graphs are a popular data structure, and graph-manipulation programs are common. Graph manipulations can be cleanly, compactly, and explicitly described using graph-rewriting notat...
Dorothea Blostein, Hoda Fahmy, Ann Grbavec
WWW
2008
ACM
16 years 7 months ago
Pagerank for product image search
In this paper, we cast the image-ranking problem into the task of identifying "authority" nodes on an inferred visual similarity graph and propose an algorithm to analyz...
Yushi Jing, Shumeet Baluja
NN
2006
Springer
104views Neural Networks» more  NN 2006»
15 years 6 months ago
Local multidimensional scaling
Several bioinformatics data sets are naturally represented as graphs, for instance gene regulation, metabolic pathways, and proteinprotein interactions. The graphs are often large ...
Jarkko Venna, Samuel Kaski