GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction

Amit Roy, Juan Shu, Jia Li, Carl J. Yang, Olivier Elshocht, Jeroen Smeets, Pan Li 0005. GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction. In Luz Angelica Caudillo-Mata, Silvio Lattanzi, Andrés Muñoz Medina, Leman Akoglu, Aristides Gionis, Sergei Vassilvitskii, editors, Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024. pages 576-585, ACM, 2024. [doi]

@inproceedings{RoySLYES024,
  title = {GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction},
  author = {Amit Roy and Juan Shu and Jia Li and Carl J. Yang and Olivier Elshocht and Jeroen Smeets and Pan Li 0005},
  year = {2024},
  doi = {10.1145/3616855.3635767},
  url = {https://doi.org/10.1145/3616855.3635767},
  researchr = {https://researchr.org/publication/RoySLYES024},
  cites = {0},
  citedby = {0},
  pages = {576-585},
  booktitle = {Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024},
  editor = {Luz Angelica Caudillo-Mata and Silvio Lattanzi and Andrés Muñoz Medina and Leman Akoglu and Aristides Gionis and Sergei Vassilvitskii},
  publisher = {ACM},
}