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Visual Graph Reasoning via Knowledge Compilation

Wang, Rongzheng et al.
arXiv (All) · Papers
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artificial-intelligencecomputer-vision-and-pattern-recognitionmultimedia
Visual graph reasoning requires answering graph-theoretic questions directly from graph images, where graph topology and state are conveyed visually rather than given in symbolic form. Despite recent progress of vision-language models (VLMs), current approaches to visual graph reasoning still fail o
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