RegraphGAN: A graph generative adversarial network model for dynamic network anomaly detection

Dezhi Guo, Zhaowei Liu, Ranran Li. RegraphGAN: A graph generative adversarial network model for dynamic network anomaly detection. Neural Networks, 166:273-285, September 2023. [doi]

@article{GuoLL23-4,
  title = {RegraphGAN: A graph generative adversarial network model for dynamic network anomaly detection},
  author = {Dezhi Guo and Zhaowei Liu and Ranran Li},
  year = {2023},
  month = {September},
  doi = {10.1016/j.neunet.2023.07.026},
  url = {https://doi.org/10.1016/j.neunet.2023.07.026},
  researchr = {https://researchr.org/publication/GuoLL23-4},
  cites = {0},
  citedby = {0},
  journal = {Neural Networks},
  volume = {166},
  pages = {273-285},
}