Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling 文章

ArXiv CS.AI2026-05-27NEWSen作者: Andrea Ceni, Alessio Gravina, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schonlieb, Moshe Eliasof
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Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling · 相关技术

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ORMODEPLAneural networkdivide-and-conquer partitioningUnifiedState Space ModelsSpatial Pivot-Aligned Coordinate-free Embedding (SPACE)SULSPASAGEReferring expression comprehension (REC)PPRNarrative Abstraction BenchmarkHISForFFIEvaluation Driven DevelopmentENADAPTANN