Comments (1)
It is may due to Github connection issues. China mainland users, please refer to the Baidu disk link in the readme of this repo to download the corresponding datasets. The dataset needs to be unzipped under pygod/data
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Related Issues (20)
- loss of GAAN is nan HOT 1
- Doesn’t benchmark’s main.py support the implementation of CoLA and RADAR methods? HOT 1
- Reproduced performance is different from the report HOT 1
- Unable to load graphs HOT 1
- Decrease in AUC Score After Standardization of Node and Edge Features in Custom Graph Dataset
- same parameters but result varys HOT 1
- Why DOMINANT model has struct decoder? HOT 4
- LOF model HOT 1
- Unclear if pygod is for supervised outlier detection only HOT 1
- Hard to run benchmark scripts directly HOT 3
- How do you divide the training set and the testing set? HOT 1
- Inconsistency with BOND paper HOT 6
- Edge level anomaly detection HOT 1
- benchmark/main.py torch.mean(auc) throws error HOT 1
- Is any method to track metrics like loss? HOT 1
- Curious about the ANEMONE algorithm HOT 2
- The model is not using GPU when I run benchmark/main.py. HOT 2
- Running issues with GAAN (Prediction probabilities are all NANs) HOT 2
- Edge Features HOT 3
- Sometimes loss of AdONE becomes 'nan'. HOT 8
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