3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.SI2026
negMIX: Negative Mixup for OOD Generalization in Open-Set Node Classification
Junwei Gong, Xiao Shen, Zhihao Chen +3
Open-set node classification (OSNC) allows unlabeled test data to contain novel classes previously unseen in the labeled data. The goal is to classify in-distribution (ID) nodes in…
cs.SI2025
Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment
Xiao Shen, Zhihao Chen, Shirui Pan +3
Existing cross-network node classification methods are mainly proposed for closed-set setting, where the source network and the target network share exactly the same label space. S…
cs.LG2024★ 3 cited
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning
Man Wu, Xin Zheng, Qin Zhang +4
Graph learning plays a pivotal role and has gained significant attention in various application scenarios, from social network analysis to recommendation systems, for its effective…