Huy Truong

T3R: Deeper Test-Time Adaptation for Graph Neural Networks via Gradient Rotation

Huy Truong, Alexander Lazovik, Victoria Degeler

Graph Neural Networks (GNNs) deployed in real-world systems typically have fixed weights, often leading to degraded performance under distribution shifts. This issue can be mitigated by conventional fine-tuning, but in many real-world cases, collecting labeled data is expensive o…Read more