doujiang-zheng/Awesome-Graph-Learning-Papers-List
Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
This project offers a curated reading list of recent academic papers focused on graph learning from major machine learning and data mining conferences. It organizes paper titles and authors by conference and year, providing a direct overview of breakthroughs in graph-based machine learning. Researchers, PhD students, and data scientists specializing in graph analytics can use this to quickly identify relevant new publications.
232 stars.
Use this if you need to stay up-to-date with the latest research in graph learning from top academic conferences without manually sifting through numerous proceedings.
Not ideal if you are looking for foundational tutorials, code implementations, or a broader scope beyond graph learning papers.
Stars
232
Forks
20
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Nov 22, 2025
Commits (30d)
0
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