zjukg/KG-MM-Survey - thehardwarestore.ai

── AI DEEP ANALYSIS ──

reviewed by: nvidia/nemotron-3-super-120b-a12b

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.

── METRICS ──

RATING8.4/10

QUALITY8.0/10

MAINTENANCEmaintained

DRIFTlow

REPRODUCIBILITY8.0/10

CONTRIBUTORS6

VELOCITY0.38

OPEN ISSUES0

LAST COMMIT7 months ago

── TAGS ──

#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

── GITHUB TOPICS ──

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 survey surveys visual-question-answering awsome

── FILE BREAKDOWN ──

Files by Type (count)

Other (.jpg)

23

Markdown

2

Other (.cff)

1

Other (no ext)

1

Files by Type (size)

Other (.jpg)

47MB

Markdown

63KB

Other (.cff)

1KB

Other (no ext)

1KB

── HISTORY ──

Last analyzed: 2026-07-30 08:23:08.903087

Next check: 2026-08-29 08:23:08.894004

$ show zjukg/KG-MM-Survey