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» Spectral Techniques in Graph Algorithms
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DAGM
2004
Springer
15 years 6 months ago
Learning from Labeled and Unlabeled Data Using Random Walks
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
Dengyong Zhou, Bernhard Schölkopf
117
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AIRWEB
2007
Springer
15 years 7 months ago
Transductive Link Spam Detection
Web spam can significantly deteriorate the quality of search engines. Early web spamming techniques mainly manipulate page content. Since linkage information is widely used in we...
Dengyong Zhou, Chris Burges, Tao Tao
FORTE
2008
15 years 2 months ago
Program Repair Suggestions from Graphical State-Transition Specifications
In software engineering, graphical formalisms, like state-transition tables and automata, are very often indispensable parts of the specifications. Such a formalism usually leads t...
Farn Wang, Chih-Hong Cheng
KDD
2006
ACM
160views Data Mining» more  KDD 2006»
16 years 1 months ago
Coherent closed quasi-clique discovery from large dense graph databases
Frequent coherent subgraphscan provide valuable knowledgeabout the underlying internal structure of a graph database, and mining frequently occurring coherent subgraphs from large...
Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Ka...
PVLDB
2010
152views more  PVLDB 2010»
14 years 12 months ago
k-Nearest Neighbors in Uncertain Graphs
Complex networks, such as biological, social, and communication networks, often entail uncertainty, and thus, can be modeled as probabilistic graphs. Similar to the problem of sim...
Michalis Potamias, Francesco Bonchi, Aristides Gio...