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Joydeep Chandra

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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-distillation methods.

Saurabh Sharma, Souvik Chowdhury, Joydeep Chandra · 0 citations