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} }