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GraRep: Learning Graph Representations with Global Structural Information

ACM International Conference on Information and Knowledge Management, (2015)

Cited by: 693|Views347
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Abstract

In this paper, we present {GraRep}, a novel model for learning vertex representations of weighted graphs. This model learns low dimensional vectors to represent vertices appearing in a graph and, unlike existing work, integrates global structural information of the graph into the learning process. We also formally analyze the connections ...More

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Author
Shaosheng Cao
Shaosheng Cao
Qiongkai Xu
Qiongkai Xu
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