Rethinking and scaling up graph contrastive learning: An extremely efficient approach with group discrimination
Graph contrastive learning (GCL) alleviates the heavy reliance on label information for
graph representation learning (GRL) via self-supervised learning schemes. The core idea is …
graph representation learning (GRL) via self-supervised learning schemes. The core idea is …
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
Y Zheng, S Pan, VC Lee, Y Zheng, PS Yu - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Graph contrastive learning (GCL) alleviates the heavy reliance on label information for
graph representation learning (GRL) via self-supervised learning schemes. The core idea is …
graph representation learning (GRL) via self-supervised learning schemes. The core idea is …
[PDF][PDF] Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
Y Zheng, S Pan, V Lee, PS Yu - Conference on Neural Information …, 2022 - par.nsf.gov
Graph contrastive learning (GCL) alleviates the heavy reliance on label information for
graph representation learning (GRL) via self-supervised learning schemes. The core idea is …
graph representation learning (GRL) via self-supervised learning schemes. The core idea is …
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
Y Zheng, S Pan, VC Lee, Y Zheng, PS Yu - arXiv preprint arXiv …, 2022 - arxiv.org
Graph contrastive learning (GCL) alleviates the heavy reliance on label information for
graph representation learning (GRL) via self-supervised learning schemes. The core idea is …
graph representation learning (GRL) via self-supervised learning schemes. The core idea is …
Rethinking and scaling UP graph contrastive learning: an extremely efficient approach with group discrimination
Y Zheng, S Pan, CS Lee, Y Zheng… - Advances in Neural …, 2022 - research.monash.edu
Graph contrastive learning (GCL) alleviates the heavy reliance on label information for
graph representation learning (GRL) via self-supervised learning schemes. The core idea is …
graph representation learning (GRL) via self-supervised learning schemes. The core idea is …
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
Y ZHENG, S Pan, V Lee, Y Zheng… - Advances in Neural …, 2022 - openreview.net
Graph contrastive learning (GCL) alleviates the heavy reliance on label information for
graph representation learning (GRL) via self-supervised learning schemes. The core idea is …
graph representation learning (GRL) via self-supervised learning schemes. The core idea is …
[PDF][PDF] Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
Y Zheng, S Pan, VCS Lee, Y Zheng, PS Yu - researchmgt.monash.edu
Graph contrastive learning (GCL) alleviates the heavy reliance on label information for
graph representation learning (GRL) via self-supervised learning schemes. The core idea is …
graph representation learning (GRL) via self-supervised learning schemes. The core idea is …
Rethinking and scaling up graph contrastive learning: an extremely efficient approach with group discrimination
Y Zheng, S Pan, VCS Lee, Y Zheng, PS Yu - Proceedings of the 36th …, 2022 - dl.acm.org
Graph contrastive learning (GCL) alleviates the heavy reliance on label information for
graph representation learning (GRL) via self-supervised learning schemes. The core idea is …
graph representation learning (GRL) via self-supervised learning schemes. The core idea is …