2026
Know Your Neighbors: Subgraph Importance Sampling for Heterophilic Graph Active Learning
AAAI 2026technical
Graph neural networks (GNNs) have demonstrated strong performance in various graph mining tasks but rely heavily on extensively labeled nodes. To improve training efficiency, graph active learning (GAL) has emerged as a solution for selecting the most informative nodes for labeling. However, existin