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Hybrid Graph Benchmark (HGB)

Emerging
1papers using it
2023first seen

The Hybrid Graph Benchmark (HGB) is a collection of 23 real-world hybrid graph datasets from various domains, designed to evaluate the performance of Graph Neural Networks (GNNs) on complex graph structures.

Papers using Hybrid Graph Benchmark (HGB) (1)

Hybrid Graph Benchmark (HGB) β€” datasets β€” graph-learning