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News/mHC-GNN: Manifold-Constrained Hyper-Connections for Graph Neural Networks
arxiv
PublishedJuly 21, 2026 at 4:00 AM
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mHC-GNN: Manifold-Constrained Hyper-Connections for Graph Neural Networks

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arXiv:2601.02451v2 Announce Type: replace-cross Abstract: Graph Neural Networks (GNNs) suffer from over-smoothing in deep architectures and expressiveness bounded by the 1-Weisfeiler-Leman (1-WL) test. We adapt Manifold-Constrained Hyper-Connections, recently proposed for Transformers, to graph neur

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