2 papers
cs.LG2025
SA-GDA: Spectral Augmentation for Graph Domain Adaptation
Jinhui Pang, Zixuan Wang, Jiliang Tang +2
Graph neural networks (GNNs) have achieved impressive impressions for graph-related tasks. However, most GNNs are primarily studied under the cases of signal domain with supervised…
cs.LG2025
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
Nan Yin, Li Shen, Mengzhu Wang +5
Although graph neural networks (GNNs) have achieved impressive achievements in graph classification, they often need abundant task-specific labels, which could be extensively costl…