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.