Multimodal attributed graphs are surveyed across models, benchmarks, and frontiers, covering graph-centric and foundation-model-centric approaches to learning on MAGs.
Read the original at arxiv.org→arXiv:2611.12990v1 Announce Type: new Abstract: Multimodal attributed graphs (MAGs), in which nodes carry text, images, and other modalities while edges encode relations among entities, underlie e-commerce, social...
Original headline: "Multimodal Graph Learning: A Survey of Models, Benchmarks, and Frontiers"
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- Nov 11, 05:00 UTC arXiv cs.LG lead source Multimodal Graph Learning: A Survey of Models, Benchmarks, and Frontiers