Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
Build and experiment with a new type of neural network designed for graph data.
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Free · no card · unsubscribe anytimeGraph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
graphtransformer has 1k stars on GitHub. It has been forked 150 times. graphtransformer is written mainly in Python. It has been in active development since 2020. graphtransformer is available under the MIT license. Its main topics are aaai, attention, graph-deep-learning, graph-neural-networks.
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
graphtransformer is an open-source project. It is released under the MIT license.
Yes. graphtransformer is free and open source — you can use, modify and self-host it.
graphtransformer is available under the MIT license.
graphtransformer is written mainly in Python.
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