https://github.com/xiangwang1223/reinforced_causal_explainer
Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
https://github.com/xiangwang1223/reinforced_causal_explainer
causal-screening explainer gnn-explainer graph-neural-networks post-hoc-explanation reinforcement-learning-agent tpami2022
Last synced: about 1 month ago
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Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
- Host: GitHub
- URL: https://github.com/xiangwang1223/reinforced_causal_explainer
- Owner: xiangwang1223
- Created: 2022-04-14T02:51:37.000Z (about 3 years ago)
- Default Branch: master
- Last Pushed: 2022-06-13T08:29:16.000Z (almost 3 years ago)
- Last Synced: 2025-03-28T11:42:54.675Z (about 2 months ago)
- Topics: causal-screening, explainer, gnn-explainer, graph-neural-networks, post-hoc-explanation, reinforcement-learning-agent, tpami2022
- Language: Python
- Homepage:
- Size: 16.1 MB
- Stars: 35
- Watchers: 2
- Forks: 4
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Reinforced Causal Explainer for Graph Neural Networks
PyTorch implementation for *Reinforced Causal Explainer for Graph Neural Networks*
Xiang Wang, Yingxin Wu, An Zhang, Fuli Feng, Xiangnan He and Tat-Seng Chua
In TPAMI.
## Dependencies & Dataset
* Please refer to *environment.yml* for environment setup and https://drive.google.com/file/d/1Cv2PBj4Tqcx-FzSO_wdQSletIxwof0IZ/view?usp=sharing to download dataset.
## Reproductivity
To reproduce the results in our paper, simply run
```
bash running_mutag.sh
```
```
bash running_vg.sh
```
```
bash running_reddit5k.sh
```
Hyper-parameter settings are shown below:
