Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
Train deep learning models for tasks like 3D point cloud analysis and bioinformatics using advanced graph techniques.
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deep_gcns_torch has 1.2k stars on GitHub. It has been forked 154 times. deep_gcns_torch is written mainly in Python. It has been in active development since 2019. deep_gcns_torch is available under the MIT license. Its main topics are 3d-point-clouds, bioinformatics, cheminformatics, computer-vision.
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
deep_gcns_torch is an open-source project. It is released under the MIT license.
Yes. deep_gcns_torch is free and open source — you can use, modify and self-host it.
deep_gcns_torch is available under the MIT license.
deep_gcns_torch is written mainly in Python.
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