Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning

Lingwen Liu, Guangqi Wen, Peng Cao 0001, Jinzhu Yang, Weiping Li, Osmar R. Zaïane. Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning. 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 443-451, ACM, 2024. [doi]

@inproceedings{LiuW0YLZ24,
  title = {Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning},
  author = {Lingwen Liu and Guangqi Wen and Peng Cao 0001 and Jinzhu Yang and Weiping Li and Osmar R. Zaïane},
  year = {2024},
  doi = {10.1145/3616855.3635765},
  url = {https://doi.org/10.1145/3616855.3635765},
  researchr = {https://researchr.org/publication/LiuW0YLZ24},
  cites = {0},
  citedby = {0},
  pages = {443-451},
  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},
}