GNN-Based Link Prediction: New Taxonomy Categorizes AI Techniques for Inferring Missing Network Connections
A comprehensive ArXiv review systematically categorizes Graph Neural Network (GNN) techniques for link prediction, covering underlying architectures and diverse graph structures. The taxonomy aims to improve recommendation systems, fraud detection, and social network analysis by better inferring missing or future connections in data.