arxiv
PublishedMay 7, 2026 at 4:00 AM
—neutral
HeterSEED: Semantics-Structure Decoupling for Heterogeneous Graph Learning under Heterophily
Publisher summary· verbatim
arXiv:2605.04594v1 Announce Type: new Abstract: Many real-world heterogeneous graphs exhibit pronounced heterophily, where connected nodes often have dissimilar labels or play different semantic roles. In such settings, standard heterogeneous graph neural networks that aggregate messages along metap
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Originally published on arxiv ↗