most citedGPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling

6 citations · 9 across the 3 of their papers we have counts for

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cs.LG2025

GCAL: Adapting Graph Models to Evolving Domain Shifts

Ziyue Qiao, Qianyi Cai, Hao Dong +5

This paper addresses the challenge of graph domain adaptation on evolving, multiple out-of-distribution (OOD) graphs. Conventional graph domain adaptation methods are confined to s…

cs.LG2024★ 6 cited

GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling

Wei Ju, Yiyang Gu, Zhengyang Mao +5

Self-supervised graph representation learning has recently shown considerable promise in a range of fields, including bioinformatics and social networks. A large number of graph co…