TrustAGI-Lab/Awesome-Graph-Neural-Networks
A curated collection of survey papers, research papers, and library resources on Graph Neural Networks.
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This repository aggregates academic resources on graph neural networks, organizing papers by architecture type (recurrent, convolutional, autoencoders, spatial-temporal) and application domain (computer vision, NLP, healthcare, chemistry, physics). It serves as a reference for researchers and practitioners studying deep learning on graph-structured data.
Frequently asked
- What is TrustAGI-Lab/Awesome-Graph-Neural-Networks?
- A curated collection of survey papers, research papers, and library resources on Graph Neural Networks.
- Is Awesome-Graph-Neural-Networks open source?
- Yes — TrustAGI-Lab/Awesome-Graph-Neural-Networks is an open-source project tracked on heatdrop.
- How popular is Awesome-Graph-Neural-Networks?
- TrustAGI-Lab/Awesome-Graph-Neural-Networks has 2.3k stars on GitHub.
- Where can I find Awesome-Graph-Neural-Networks?
- TrustAGI-Lab/Awesome-Graph-Neural-Networks is on GitHub at https://github.com/TrustAGI-Lab/Awesome-Graph-Neural-Networks.