zjukg/KG-MM-Survey

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

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/ 100
Emerging

This project is a curated collection of academic papers exploring how Knowledge Graphs (KGs) and Multi-Modal Learning intersect. It helps researchers understand current trends and identify key studies where KGs enhance multi-modal tasks (like image classification or visual question answering) or where KGs themselves are extended to include multi-modal information. Researchers in AI, machine learning, and data science who are working on advanced AI systems that combine different types of data (text, images, audio, etc.) with structured knowledge will find this valuable.

479 stars.

Use this if you are an AI researcher or practitioner looking for a structured overview of the latest academic work at the intersection of Knowledge Graphs and Multi-Modal Learning.

Not ideal if you are looking for an off-the-shelf software tool or a tutorial for implementing multi-modal AI solutions.

AI-research Knowledge-Graph-development Multi-Modal-AI Machine-Learning-literature Deep-Learning-applications
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 13 / 25

How are scores calculated?

Stars

479

Forks

25

Language

License

MIT

Last pushed

Mar 02, 2026

Commits (30d)

0

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