A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning.

Li Sun|Junda Ye|Hao Peng|Philip S. Yu


Anthology ID:DBLP:conf/cikm/0008YPY22
Volume:Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
Year:2022
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:1827-1836
URL:https://doi.org/10.1145/3511808.3557222
DOI:https://doi.org/10.1145/3511808.3557222
DBLP:conf/cikm/0008YPY22
BibTeX:
@inproceedings{sun-2022-selfsupervised, author = {Li Sun and Junda Ye and Hao Peng and Philip S. Yu}, editor = {Mohammad Al Hasan and Li Xiong}, title = {{A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning}}, booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}}, pages = {1827--1836}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3511808.3557222}, doi = {https://doi.org/10.1145/3511808.3557222} }