2 papers
cs.LG2025
EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network
Weijie Guan, Haohui Wang, Jian Kang +2
Graph learning has been crucial to many real-world tasks, but they are often studied with a closed-world assumption, with all possible labels of data known a priori. To enable effe…
cs.LG2025
Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks
Tuo Wang, Jian Kang, Yujun Yan +2
Conformal prediction for graph neural networks (GNNs) offers a promising framework for quantifying uncertainty, enhancing GNN reliability in high-stakes applications. However, exis…