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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Benchmarks

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Task	Dataset Variant	Best Model
Graph Classification	Peptides-func	DRew-GCN+LapPE
Graph Regression	Peptides-struct	Graph ViT
Link Prediction	PCQM-Contact	ViT-PS
Node Classification	PascalVOC-SP	GPS-tuned
Node Classification	COCO-SP	GPS-tuned