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Open access Aug 2026

Learning Multi-View Representations with Graph-Level Fusion: A Bi-Level Optimization Perspective

Multi-view representation learning, aiming to extract discriminative patterns from heterogeneous data sources, has attracted increasing attention in recent years. A central challenge in multi-view data fusion lies in determining the appropriate weight and importance of each view in a principled manner. While graph-base...

Na Song, Xin Wang, Zhi-Cai Zhang et al. · 0 citations
Conference Open access Sep 2026

McGcn: Learning Continuous Graph Dynamics for Multi-Channel Fusion

A novel framework for multi-channel data fusion that integrates a multi-channel encoding module with continuous feature dynamics to initialize and evolve the latent node representations over static graph topologies, and effectively mitigates the performance degradation typically associated with deep graph architectures...

Na Song, Zi-Han Fang, Wei-Dong Zhang et al. · 0 citations

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