Heuristic Learning with Graph Neural Networks: A Unified Framework for
Link Prediction
Heuristic Learning with Graph Neural Networks: A Unified Framework for
Link Prediction
Link prediction is a fundamental task in graph learning, inherently shaped by the topology of the graph. While traditional heuristics are grounded in graph topology, they encounter challenges in generalizing across diverse graphs. Recent research efforts have aimed to leverage the potential of heuristics, yet a unified formulation accommodating both …