Tlife-GDN

PyTorch implementation of Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies via Persistent Homology and Geometric Deep Learning, PAKDD 2022.

Requirements:

Requirements
Python >= 3.8
cuda == 11.1
Pytorch==1.11.0
PyG: torch-geometric==2.0.4

Citing this repository

If you find this code helpful for your research, please consider citing us:

  @inproceedings{zhen2022tlife 
  title={Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies via Persistent Homology and Geometric Deep Learning}, 
  author={Zhen, Zhiwei and Chen, Yuzhou and Segovia-Dominguez, Ignacio and Gel, Yulia R}, 
  booktitle={Pacific-Asia Conference on Knowledge Discovery and Data Mining}, 
  pages={511--525}, 
  year={2022}, 
  organization={Springer} 
}