GALG: Linking Addresses in Tracking Ecosystem Using Graph Autoencoder with Link Generation

Cite

Text

Cui et al. "GALG: Linking Addresses in Tracking Ecosystem Using Graph Autoencoder with Link Generation." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022. doi:10.1007/978-3-031-26422-1_17

Markdown

[Cui et al. "GALG: Linking Addresses in Tracking Ecosystem Using Graph Autoencoder with Link Generation." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022.](https://mlanthology.org/ecmlpkdd/2022/cui2022ecmlpkdd-galg/) doi:10.1007/978-3-031-26422-1_17

BibTeX

@inproceedings{cui2022ecmlpkdd-galg,
  title     = {{GALG: Linking Addresses in Tracking Ecosystem Using Graph Autoencoder with Link Generation}},
  author    = {Cui, Tianyu and Xiong, Gang and Liu, Chang and Shi, Junzheng and Fu, Peipei and Gou, Gaopeng},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2022},
  pages     = {270-285},
  doi       = {10.1007/978-3-031-26422-1_17},
  url       = {https://mlanthology.org/ecmlpkdd/2022/cui2022ecmlpkdd-galg/}
}