GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection

Cite

Text

Xu et al. "GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024. doi:10.1007/978-3-031-70365-2_20

Markdown

[Xu et al. "GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024.](https://mlanthology.org/ecmlpkdd/2024/xu2024ecmlpkdd-gladformer/) doi:10.1007/978-3-031-70365-2_20

BibTeX

@inproceedings{xu2024ecmlpkdd-gladformer,
  title     = {{GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection}},
  author    = {Xu, Fan and Wang, Nan and Wu, Hao and Wen, Xuezhi and Zhang, Dalin and Lu, Siyang and Li, Binyong and Gong, Wei and Wan, Hai and Zhao, Xibin},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2024},
  pages     = {337-353},
  doi       = {10.1007/978-3-031-70365-2_20},
  url       = {https://mlanthology.org/ecmlpkdd/2024/xu2024ecmlpkdd-gladformer/}
}