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

The absence of a standardized benchmark for Graph Neural Networks GNNs has led to overlooked pitfalls in system design and evaluation. Existing benchmarks like Graph500 and LDBC need to be revised for GNNs due to differences in computations, storage, and reliance on deep learning frameworks. GNN systems aim to optimize runtime and memory without altering […]

The post GNNBench: A Plug-and-Play Deep Learning Benchmarking Platform Focused on System Innovation appeared first on MarkTechPost.

aim ai paper summary ai shorts applications artificial intelligence benchmark benchmarking benchmarks deep learning deep learning frameworks design differences editors pick evaluation frameworks gnn gnns graph graph neural networks innovation machine learning networks neural networks platform reliance staff storage systems tech news technology