MOVE: Multimodal Open-world Verification and Expansion for Graph Learning
Multimodal graph learning faces a fundamental challenge: new classes may emerge after deployment, while models are trained with a fixed label space. Existing approaches typically detect unknown nodes and use LLMs to generate candidate class descriptions, but they do not determine whether existing classes are insufficie...
Ze-Kai Chen, Jia-Yang Xing, Xun Wu et al.
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