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» On the Vulnerability of Large Graphs
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HIPS
1998
IEEE
15 years 10 months ago
A Graph-Based Framework for the Definition of Tools Dealing with Sparse and Irregular Distributed Data Structures
Industrial applications use specific problem-oriented implementations of large sparse and irregular data structures. Hence there is a need for tools that make it possible for deve...
Jean-Michel Lépine, Serge Chaumette, Frank ...
CHI
2011
ACM
14 years 10 months ago
Guess who?: enriching the social graph through a crowdsourcing game
Despite the tremendous popularity of social network sites both on the web and within enterprises, the relationship information they contain may be often incomplete or outdated. We...
Ido Guy, Adam Perer, Tal Daniel, Ohad Greenshpan, ...
ACL
2012
13 years 9 months ago
Tweet Recommendation with Graph Co-Ranking
As one of the most popular micro-blogging services, Twitter attracts millions of users, producing millions of tweets daily. Shared information through this service spreads faster ...
Rui Yan, Mirella Lapata, Xiaoming Li
ICML
2009
IEEE
16 years 7 months ago
Learning spectral graph transformations for link prediction
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
Andreas Lommatzsch, Jérôme Kunegis
GBRPR
2009
Springer
16 years 1 months ago
Edition within a Graph Kernel Framework for Shape Recognition
A large family of shape comparison methods is based on a medial axis transform combined with an encoding of the skeleton by a graph. Despite many qualities this encoding of shapes ...
François-Xavier Dupé, Luc Brun