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Fixed Points Without Fixed Diffusion: Implicit Neural Sheaves for Convergent Test-Time Computation

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, iteration-independent parameterization, and flexible test-time computation. Yet these ben…

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  1. 2026-09-28 04:00 · arXiv cs.LG
    Fixed Points Without Fixed Diffusion: Implicit Neural Sheaves for Convergent Test-Time Computation

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