Saurabh Sharma

Taking lessons from history: Memory Augmented Self Distillation for graph neural networks

This study introduces a novel memory-augmented self-learning framework that extracts and provides diverse learning sources for adaptive knowledge distillation from the student model itself, resulting in a 2.5-6% increase in accuracy across various benchmark datasets compared to current GNN training and self-distillatio...