A Python Library for Graph Outlier Detection (Anomaly Detection)
A Python Library for Graph Outlier Detection (Anomaly Detection)
After training all anomaly scores are low so no anomalies are detected
reproducing results from paper (or near)
Process Killed with Minimal Settings on GPU (inj_flickr)
Mini-batch loading doesn't prevent memory allocation errors in DOMINANT
Can I use this library for my model building?
The error occurred while using the GADNR model: MessagePassing.init() got an unexpected keyword argument 'tot_nodes'
Follow the instructions of detector example, which step went wrong?
[Feature] Is there any plan to support dynamic graph anomaly detection models?
Inconsistent prediction: pred in logger vs pred from .predict function
Decrease in AUC Score After Standardization of Node and Edge Features in Custom Graph Dataset