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Context-aware Modality-Topology Co-Alignment for Multimodal Attributed Graphs

arXiv cs.LG · 2026-06-15 Cached

Proposes CoMAG, a unified backbone for multimodal attributed graphs that learns task-adaptive reliable contexts and performs modality-preserving alignment, achieving state-of-the-art results on graph-level prediction, modality matching, and graph-conditioned generation.

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