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156
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KDD
2008
ACM
16 years 5 months ago
2008
ACM
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
150
Voted
KDD
2008
ACM
16 years 5 months ago
2008
ACM
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
162
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KDD
2008
ACM
16 years 5 months ago
2008
ACM
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
154
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KDD
2007
ACM
16 years 5 months ago
2007
ACM
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
134
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KDD
2007
ACM
16 years 5 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...