D. Kasthurirathna

Tag Entropy: A Structure-Agnostic Curriculum Learning Framework for Graph Neural Networks

Curriculum Learning (CL) orders training samples from easy to hard, but its application to graphs remains limited: existing methods rely on architecture-specific signals such as training loss, or on hand-crafted structural heuristics that do not transfer across datasets. Standard Graph Neural Network (GNN) training sid...