Deep Multi-Graph Clustering via Attentive Cross-Graph Association

WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining Houston TX USA February, 2020, pp. 393-401, 2020.

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Abstract:

Multi-graph clustering aims to improve clustering accuracy by leveraging information from different domains, which has been shown to be extremely effective for achieving better clustering results than single graph based clustering algorithms. Despite the previous success, existing multi-graph clustering methods mostly use shallow models, ...More

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