A Post-Training Framework for Improving Heterogeneous Graph Neural Networks.

Cheng Yang|Xumeng Gong|Chuan Shi|Philip S. Yu


Anthology ID:DBLP:conf/www/YangGSY23
Volume:Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
Year:2023
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:251-262
URL:https://doi.org/10.1145/3543507.3583282
DOI:https://doi.org/10.1145/3543507.3583282
DBLP:conf/www/YangGSY23
BibTeX:
@inproceedings{yang-2023-posttraining, author = {Cheng Yang and Xumeng Gong and Chuan Shi and Philip S. Yu}, editor = {Ying Ding and Jie Tang and Juan F. Sequeda and Lora Aroyo and Carlos Castillo and Geert-Jan Houben}, title = {{A Post-Training Framework for Improving Heterogeneous Graph Neural Networks}}, booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}}, pages = {251--262}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3543507.3583282}, doi = {https://doi.org/10.1145/3543507.3583282} }