Conference
Open access
Sep 2026
Test-Time Adaptation for Graph Learning: A Systematic Survey
Graph distribution shifts between training and test graphs pose severe challenges to the generalization of graph neural networks (GNNs). In real-world deployment, application environments are continuously evolving, while retraining or redesigning GNNs is often costly and impractical. In light of this, test-time adaptat...
Jiayi Chen, Xin Zheng, Bo Li et al.
· Proceedings of the Thirty-Fi... · 3 citations