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Hongzhi He

1 accepted papers

2026

Graph Meets Deep Unfolding: An Interpretable Mutual-benefit Multi-view Learning Network

AAAI 2026technical

Significant efforts have been focused on enhancing the utilization of multiple node features and topological structures in multi-view graph learning through explicit model-driven and implicit deep learning-based methodologies. The former excels in embedding prior knowledge, thereby offering theoreti

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