Graph Anomaly Detection Boundary Learning via Local and Global Structure Modeling

Yaoyang Li, Qianyu Lin, Chenjun Liu, Mingkang Li, Fu Lin. Graph Anomaly Detection Boundary Learning via Local and Global Structure Modeling. In Raymond Chi-Wing Wong, Hanghang Tong, Hua Lu 0001, James T. Kwok, Flora D. Salim, Yuanfeng Song, Man Lung Yiu, editors, Advances in Knowledge Discovery and Data Mining - 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2026, Hong Kong, China, June 9-12, 2026, Proceedings, Part III. Volume 16599 of Lecture Notes in Computer Science, pages 329-341, Springer, 2026. [doi]

@inproceedings{LiLLLL26,
  title = {Graph Anomaly Detection Boundary Learning via Local and Global Structure Modeling},
  author = {Yaoyang Li and Qianyu Lin and Chenjun Liu and Mingkang Li and Fu Lin},
  year = {2026},
  doi = {10.1007/978-981-92-1465-5_26},
  url = {https://doi.org/10.1007/978-981-92-1465-5_26},
  researchr = {https://researchr.org/publication/LiLLLL26},
  cites = {0},
  citedby = {0},
  pages = {329-341},
  booktitle = {Advances in Knowledge Discovery and Data Mining - 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2026, Hong Kong, China, June 9-12, 2026, Proceedings, Part III},
  editor = {Raymond Chi-Wing Wong and Hanghang Tong and Hua Lu 0001 and James T. Kwok and Flora D. Salim and Yuanfeng Song and Man Lung Yiu},
  volume = {16599},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-92-1465-5},
}