2026
Learnable Data Augmentation and Contrastive Pre-training for Temporal Link Prediction
IJCAI 2026
Link prediction is a foundational task in temporal graphs. While temporal graph neural networks exhibit commendable performance, they are often criticized for providing inadequate representations, especially under limited data. Contrastive learning has been introduced as a solution for graph pre-tra