Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks.

Hao Liu|Jiarui Feng|Lecheng Kong|Dacheng Tao|Yixin Chen|Muhan Zhang


Anthology ID:DBLP:conf/www/0007FKTCZ24
Volume:Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
Year:2024
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:365-376
URL:https://doi.org/10.1145/3589334.3645367
DOI:https://doi.org/10.1145/3589334.3645367
DBLP:conf/www/0007FKTCZ24
BibTeX:
@inproceedings{liu-2024-graph, author = {Hao Liu and Jiarui Feng and Lecheng Kong and Dacheng Tao and Yixin Chen and Muhan Zhang}, editor = {Tat-Seng Chua and Chong-Wah Ngo and Ravi Kumar and Hady Wirawan Lauw and Roy Ka-Wei Lee}, title = {{Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks}}, booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}}, pages = {365--376}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3589334.3645367}, doi = {https://doi.org/10.1145/3589334.3645367} }