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zjukg/KG-MM-Survey ★ 507 26 DATA_RESEARCH

This repository is a comprehensive survey paper on the intersection of knowledge graphs and multi-modal learning. It organizes the literature into two main directions: KG-driven multi-modal learning (KG4MM) and multi-modal knowledge graphs (MM4KG). The survey covers various tasks such as visual question answering, image classification, multi-modal named entity recognition, and knowledge graph completion, among others. Each section includes a list of relevant papers with links to their sources (e.g., arXiv, conference proceedings). The repository is maintained through updates that include adding new papers and fixing links, as evidenced by the recent commit in 2026 and the news items up to 2024-12.

RATING: 8.4/10 REPRO: 8.0/10 MAINT: maintained DRIFT: low
#knowledge-graphs #multimodal-learning #survey #kg4mm #mm4kg #awsome-list #cross-modal-retrieval #entity-alignment #entity-linking #image-classification #image-generation #information-extraction #knowledge-graph #knowledge-graph-embeddings #large-language-models #multi-modal-fusion #multi-modal-knowledge-graph #multi-modal-learning #paper-list #surveys #visual-question-answering #awsome
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