SOURCE-LINKED INTELLIGENCE

MURAL: Multimodal Uncertainty-aware Recommendation via Adaptive edge Learning

arXiv · AI, language, vision and robotics · article · Sep 4, 2026 · UTC

Multimodal Graph Neural Networks have become standard for recommendation by augmenting sparse interaction data with content features. Yet current architectures face two bottlenecks: structural rigidity, from a reliance on static precomputed similarity graphs that cannot adapt to evolving preferences; and semantic fragility, where noisy modality signals are indiscriminately fused, distorting the collaborative signal. We propose MURAL (Multimodal Uncertainty-aware Recommendation via Adaptive edge Learning), a unified framework that shifts multimodal recommendation from fixed structural augmentat

Read original source ↗ Open in workspace

recordType

paper

region

Global