4 papers
Schreier-Coset Graph Rewiring
Aryan Mishra, Randy Martinez, Lizhen Lin
The information flow in the graph neural networks (GNNs) is fundamentally constrained by over-squashing, where structural bottlenecks impede long range information propagation. Gra…
Structure First, Reason Next: Enhancing a Large Language Model using Knowledge Graph for Numerical Reasoning in Financial Documents
Aryan Mishra, Akash Anil
Numerical reasoning is an important task in the analysis of financial documents. It helps in understanding and performing numerical predictions with logical conclusions for the giv…
Uncertainty-Aware Dual-Student Knowledge Distillation for Efficient Image Classification
Aakash Gore, Anoushka Dey, Aryan Mishra
Knowledge distillation has emerged as a powerful technique for model compression, enabling the transfer of knowledge from large teacher networks to compact student models. However,…
Schreier-Coset Graph Propagation
Aryan Mishra, Lizhen Lin
Graph Neural Networks (GNNs) offer a principled framework for learning over graph-structured data, yet their expressive capacity is often hindered by over-squashing, wherein inform…