jhuow/gnn_algorithm

自己对一些GNN算法的拙劣复现 基于Tensorflow2.3

GNN Algorithm

本菜鸟对一些GNN算法的拙劣复现 基于Tensorflow2.3。

Tensorflow2.x implementations of some Graph Neural Networks. My implementations are crude, so if you have some suggestions about my codes, please let me know. Thank you very much.

My email: [email protected]

已完成(Completed)：

1. GCN [Paper] 2020/10/17
2. GAT [Paper] 2020/10/22 (Some code refer to keras_gat)
3. GraphSAGE [Paper] 2020/10/26
4. GGNN [Gated Graph Sequence Neural Networks] (For Node Classification Task on Cora, GGNN is overfitting in my implementation.) 2020/11/03
5. GIN [How Powerful are Graph Neural Networks?] 2020/11/04
6. DiffPool for Graph Classification[Hierarchical Graph Representation Learning with Differentiable Pooling] 2020/11/29
7. SAGPool for Graph Classification[Self-Attention Graph Pooling] 2020/12/01

continuing ...

Some Useful Repo/Library

CogDL

DGL

Spektral

PyTorch Geometric

OpenNE

tf_geometric

Graph_NN

OpenHINE

Benckmark Datasets and Implementations of HNE