Fixed points without fixed diffusion: implicit neural sheaves for convergent test-time computation
Read the original at arxiv.org→arXiv:2609.30277v1 Announce Type: new Abstract: Implicit Graph Neural Networks (IGNNs) define node representations as fixed points of message-passing operators, enabling effectively infinite-depth propagation,...
Original headline: "Fixed Points Without Fixed Diffusion: Implicit Neural Sheaves for Convergent Test-Time Computation"
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- Sep 28, 04:00 UTC arXiv cs.LG lead source Fixed Points Without Fixed Diffusion: Implicit Neural Sheaves for Convergent Test-Time Computation