HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning, Ming Li

Mar-27-2025, 13:02:16 GMT–Neural Information Processing Systems

Graph Auto-Encoders (GAEs) are powerful tools for graph representation learning. In this paper, we develop a novel Hierarchical Cluster-based GAE (HC-GAE), that can learn effective structural characteristics for graph data analysis.

artificial intelligence, information, machine learning, (18 more...)

Neural Information Processing Systems

Mar-27-2025, 13:02:16 GMT

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