
powerful-gnns
by weihua916 (personal account)
How Powerful are Graph Neural Networks? (description from the project’s GitHub page)
Repository facts
- Stars
- 1,287
- Forks
- 228
- Open issues and pull requests
- 19
- Primary language
- Python
- License
- MIT License (MIT)
- Owner
- weihua916 · Personal account
- Created
- Dec 26, 2018
- Last push
- Jul 1, 2021
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 5,513: SuperBruceJia/EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
1,173 starsPythonMITLast push Jul 20, 2025
Rank 345: pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
24,122 starsPythonMITLast push Oct 6, 2026
Rank 571: dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
14,285 starsPythonApache-2.0Last push Jul 31, 2025
Rank 1,757: RUCAIBox/RecBole
A unified, comprehensive and efficient recommendation library
4,586 starsPythonMITLast push Feb 24, 2025
Rank 1,935: magicleap/SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
4,098 starsPythonOther licenseLast push Aug 30, 2024
Rank 2,563: stellargraph/stellargraph
StellarGraph - Machine Learning on Graphs
3,064 starsPythonApache-2.0Last push Apr 10, 2024