Paper Lists for Graph Neural Networks
Browse a collection of research papers and resources about graph neural networks.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimePaper Lists for Graph Neural Networks
Awesome-Graph-Neural-Networks has 2.3k stars on GitHub. It has been forked 379 times. It has been in active development since 2018. Its main topics are convolutional-networks, deep-learning, generated-graphs, graph-attention.
Paper Lists for Graph Neural Networks
Awesome-Graph-Neural-Networks is an open-source project.
Yes. Awesome-Graph-Neural-Networks is free and open source — you can use, modify and self-host it.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/trustagi-lab-awesome-graph-neural-networks.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.