My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI
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Free · no card · unsubscribe anytimeMy implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI
pytorch-GAT has 2.7k stars on GitHub. It has been forked 355 times. pytorch-GAT is written mainly in Jupyter Notebook. It has been in active development since 2020. pytorch-GAT is available under the MIT license. Its main topics are attention, attention-mechanism, deep-learning, gat.
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI
pytorch-GAT is an open-source project. It is released under the MIT license.
Yes. pytorch-GAT is free and open source — you can use, modify and self-host it.
pytorch-GAT is available under the MIT license.
pytorch-GAT is written mainly in Jupyter Notebook.
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