GOMA: Toward Structure-Driven Multimodal Alignment from a Graph Signal Smoothing Perspective
cs.LG, cs.CV
Submitted: 2026-05-15
Updated: 2026-09-24
Terminology
Sources
- VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
- Disentangling Homophily and Heterophily in Multimodal Graph Clustering
- NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification
- Cross-modal Active Complementary Learning with Self-refining Correspondence
- When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning
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