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News/From Uniform to Learned Graph Priors: Diffusion for Structure Discovery
arxiv
PublishedJune 12, 2026 at 4:00 AM
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From Uniform to Learned Graph Priors: Diffusion for Structure Discovery

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Publisher summary· verbatim

arXiv:2606.11831v1 Announce Type: new Abstract: Neural relational inference (NRI) methods discover interaction graphs from trajectories through variational reasoning on discrete potential edges. However, these methods typically rely on oversimplified, factorized graph priors. Such priors, typically

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arxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents1darxivTNODEV: Toolbox for Neural ODE Verification1darxivLearning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding1d
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