
pretrain-gnns
by snap-stanford (organization)
Strategies for Pre-training Graph Neural Networks (description from the project’s GitHub page)
Repository facts
- Stars
- 1,071
- Forks
- 172
- Open issues and pull requests
- 39
- Primary language
- Python
- License
- MIT License (MIT)
- Owner
- snap-stanford · Organization
- Created
- Jan 30, 2020
- Last push
- Jul 29, 2023
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 3,745: c2g-dev/city2graph
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
1,945 starsPythonBSD-3-ClauseLast push Oct 15, 2026
Rank 9,179: chaitjo/efficient-gnns
Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
533 starsPythonNo license file detectedLast push Feb 4, 2023
Rank 9,492: acbull/GPT-GNN
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
501 starsPythonMITLast push Jul 25, 2024
Rank 1,583: naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
5,104 starsJupyter NotebookMITLast push Sep 28, 2026
Rank 2,901: graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks (JMLR 2023)
2,671 starsJupyter NotebookMITLast push Jun 22, 2023
Rank 5,810: tsinghua-fib-lab/GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
1,081 starsNo license file detectedLast push Dec 17, 2022