arXiv cs.AI
· Papers
A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges
arXiv:2607.16198v1 Announce Type: new Abstract: Graph Neural Networks (GNNs) have emerged as the leading paradigm for link prediction, enabling the inference of missing connections and the anticipation of potential future links. However, existing reviews lack systematic exploration specifically targeting underlying GNN