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  • Email:quantumliu@pku.edu.cn
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GNN Library GammGL

GammaGL(Gamma Graph Library), GAMMA LAB and Pengcheng Laboratory provide more than 20 mainstream classical models with the latest open-source graph neural network algorithm library

In addition, GammaGL is very similar to the mainstream PyTorch Geometric (PyG) interface design. GammaGL is based on TensorLayerXYou can develop it as a PyG that supports TensorFlow, Paddle, MindSpore, and switch back-end deep learning frameworks with one click.

At the same time, we provide more than twenty mainstream classical models for you to reuse.



TensorFlowPyTorchPaddleMindSpore
GCN [ICLR 2017]✔️✔️✔️✔️
GAT [ICLR 2018]✔️✔️✔️
GraphSAGE [NeurIPS 2017]✔️✔️✔️
ChebNet [NeurIPS 2016]✔️✔️

GCNII [ICLR 2017]✔️✔️✔️
JKNet [ICML 2018]✔️✔️✔️
DiffPool [NeurIPS 2018]



SGC [ICML 2019]✔️✔️✔️
GIN [ICLR 2019]



APPNP [ICLR 2019]✔️✔️✔️
AGNN [arxiv]✔️✔️✔️
SIGN [ICML 2020 Workshop]✔️✔️✔️
DropEdge [ICLR 2020]✔️✔️✔️
GATv2 [ICLR 2021]✔️✔️✔️
GPRGNN [ICLR 2021]✔️


FAGCN [AAAI 2021]✔️✔️

GNN-Film [PMLR 2020]✔️✔️✔️
GraphGAN [AAAI 2018]✔️✔️✔️
HardGAT [KDD 2019]✔️✔️✔️
MixHop [ICML 2019]✔️✔️✔️
PNA [NeurIPS 2020]✔️✔️✔️
GEN [WWW 2021]✔️


Contrastive LearningTensorFlowPyTorchPaddleMindSpore
DGI [ICLR 2019]✔️✔️✔️
GRACE [ICML 2020 Workshop]✔️✔️✔️
MVGRL [ICML 2020]✔️✔️✔️
InfoGraph [ICLR 2020]✔️✔️✔️
MERIT [IJCAI 2021]✔️
✔️
Heterogeneous Graph LearningTensorFlowPyTorchPaddleMindSpore
RGCN [ESWC2018]✔️✔️✔️
HAN [WWW 2019]✔️✔️✔️
HGT [WWW 2020]



SimpleHGN [KDD 2021]