Long Range Graph Benchmark (LRGB)

Introduced by Dwivedi et al. in Long Range Graph Benchmark

The Long Range Graph Benchmark (LRGB) is a collection of 5 graph learning datasets that arguably require long-range reasoning to achieve strong performance in a given task. The 5 datasets in this benchmark can be used to prototype new models that can capture long range dependencies in graphs.

Dataset Domain Task
PascalVOC-SP Computer Vision Node Classification
COCO-SP Computer Vision Node Classification
PCQM-Contact Quantum Chemistry Link Prediction
Peptides-func Chemistry Graph Classification
Peptides-struct Chemistry Graph Regression


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