Jiakui/awesome-gcn
A curated list of resources for Graph Convolutional Networks and Graph Attention Networks, linking to TensorFlow, Keras, and PyTorch implementations.
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This repository collects implementations, papers, tutorials, and resources related to Graph Convolutional Networks (GCN) and Graph Attention Networks (GAT). It links to foundational implementations like tkipf/gcn and PetarV-/GAT across multiple frameworks including TensorFlow, Keras, and PyTorch, along with improved variants like deep_gcns and edge-attention models.
Frequently asked
- What is Jiakui/awesome-gcn?
- A curated list of resources for Graph Convolutional Networks and Graph Attention Networks, linking to TensorFlow, Keras, and PyTorch implementations.
- Is awesome-gcn open source?
- Yes — Jiakui/awesome-gcn is an open-source project tracked on heatdrop.
- How popular is awesome-gcn?
- Jiakui/awesome-gcn has 914 stars on GitHub.
- Where can I find awesome-gcn?
- Jiakui/awesome-gcn is on GitHub at https://github.com/Jiakui/awesome-gcn.