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Illinois Graph Benchmark (IGB) is a collection of large-scale real-world graph datasets developed by the IBM-Illinois Discovery Accelerator Institute in collaboration with Amazon and NVIDIA. Updated in June 2025, it provides graph structures and node features specifically designed for benchmarking Graph Neural Network (GNN) performance. It is positioned as the largest open-source dataset of its kind for graph learning research.
Users should refer to the IllinoisGraphBenchmark GitHub repository for specific data loading scripts and hardware prerequisites required to handle the dataset scale.