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GNNBench: A Plug-and-Play Deep Learning Benchmarking Platform Focused on System Innovation

GNNBENCH is a new platform designed for advancing research in Graph Neural Networks (GNNs). It addresses the need for a standardized benchmark for GNNs, providing practical solutions for system innovation. Developed by William & Mary researchers, GNNBENCH streamlines the exchange of tensor data, supports custom classes in System APIs, and integrates seamlessly with popular deep learning frameworks like PyTorch and TensorFlow. This platform aims to rectify measurement pitfalls, promote innovation, and ensure unbiased evaluations in the field of GNN research.

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