Li-Qing Qiu

Lightweight Graph Contrastive Distillation for Node Classification

Graph contrastive learning (GCL) has emerged as an effective paradigm for learning discriminative graph representations. However, applying GCL to large-scale graphs remains challenging, since conventional GCL frameworks often rely on message-passing GNN encoders and pairwise contrastive objectives, which may introduce...