Equivariant Sheaf Neural Networks: learning geometric transport on graphs
Read the original at arxiv.org→arXiv:2608.28853v1 Announce Type: new Abstract: Equivariant graph neural networks provide a principled way to model geometric systems, but efficient first-order architectures remain limited in how vector information...
Original headline: "Equivariant Sheaf Neural Networks: Learning Geometric Transport on Graphs"
Coverage timeline
- Sep 1, 04:00 UTC arXiv cs.LG lead source Equivariant Sheaf Neural Networks: Learning Geometric Transport on Graphs