| Name | Version | Summary | date |
| visual-graph-datasets |
0.15.2 |
Datasets for the training of graph neural networks (GNNs) and subsequent visualization of attributional explanations of XAI methods |
2024-03-11 13:32:32 |
| vgd-counterfactuals |
0.3.6 |
Counterfactual explanations for GNNs based on the visual graph dataset format |
2024-02-09 15:30:38 |
| fedgraph |
0.0.9 |
Federated Graph Learning |
2024-02-04 22:15:47 |
| pygod |
1.1.0 |
A Python Library for Graph Outlier Detection (Anomaly Detection) |
2024-02-04 21:25:17 |
| dhg |
0.9.4 |
DHG is a Deep Learning Framework for Graph Neural Network and Hypergraph Neural Networks. |
2024-01-31 03:55:38 |
| godm |
0.1.0 |
GODM |
2024-01-03 03:29:48 |
| pydance |
1.0.1 |
Deep Learning for Single-cell Analysis |
2023-12-04 00:01:54 |
| vgd_counterfactuals |
0.3.5 |
Counterfactual explanations for GNNs based on the visual graph dataset format |
2023-11-14 14:15:47 |
| ogb |
1.3.6 |
Open Graph Benchmark |
2023-04-07 05:59:02 |
| cellograph |
0.0.1 |
cellograph |
2023-01-27 15:23:19 |