Avaneesh Shinde

Adaptive Graph Sparsification for Efficient Graph Neural Networks

This preprint presents an experimental study of graph sparsification for graph neural networks. The study evaluates multiple edge-selection strategies, including random, degree-based, structural, feature-based, and multi-criteria sparsification, across the Cora, CiteSeer, PubMed, Chameleon, and Squirrel datasets. The e...