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graphtransformer
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graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

by graphdeeplearning · GitHub
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aaaiattentiongraph-deep-learningMITPython
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Build and experiment with a new type of neural network designed for graph data.

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2026-07-202026-08-31
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📄 About

Graph 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.

Frequently asked questions

What is graphtransformer?

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

Is graphtransformer open source?

graphtransformer is an open-source project. It is released under the MIT license.

Is graphtransformer free?

Yes. graphtransformer is free and open source — you can use, modify and self-host it.

What license does graphtransformer use?

graphtransformer is available under the MIT license.

What language is graphtransformer written in?

graphtransformer is written mainly in Python.

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