class-expansion

MOVE is a multimodal open-world class verification and expansion framework for graph learning that jointly uses visual tokens, textual attributes, and graph context to detect unknown nodes, generates candidate classes via a multimodal LLM, and selectively expands the class space, achieving an average 11.87% improvement across unknown recognition, open-domain annotation, and downstream tasks.