Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices.
Jing Zhu|Yuhang Zhou|Vassilis N. Ioannidis|Shengyi Qian|Wei Ai|Xiang Song|Danai Koutra
| Anthology ID: | DBLP:conf/wsdm/ZhuZI000K24 |
|---|---|
| Volume: | Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024 |
| Year: | 2024 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 994-1002 |
| URL: | https://doi.org/10.1145/3616855.3635786 |
| DOI: | https://doi.org/10.1145/3616855.3635786 |
| DBLP: | conf/wsdm/ZhuZI000K24 |
| BibTeX: |
@inproceedings{zhu-2024-pitfalls,
author = {Jing Zhu and
Yuhang Zhou and
Vassilis N. Ioannidis and
Shengyi Qian and
Wei Ai and
Xiang Song and
Danai Koutra},
editor = {Luz Angelica Caudillo-Mata and
Silvio Lattanzi and
Andr\'{e}s Mu\~{n}oz Medina and
Leman Akoglu and
Aristides Gionis and
Sergei Vassilvitskii},
title = {{Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {994--1002},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635786},
doi = {https://doi.org/10.1145/3616855.3635786}
}