A comprehensive and modular PyTorch template for training Graph Neural Networks (GNNs) on node classification tasks. This repository provides a clean, extensible framework for experimenting with ...
Traditional neural networks don't take into account the relational inductive bias inherent in graph-structured data. GCNs solve this by aggregating features from a node's neighbors during learning, ...
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