Long Range Graph Benchmark

The Long Range Graph Benchmark is a dataset used to evaluate the performance of Graph Neural Networks (GNNs) by analyzing their behavior on graphs with varying topological properties, particularly focusing on the effects of curvature on information flow and learning dynamics.

Papers using Long Range Graph Benchmark (4)

Probing Graph Neural Network Activation Patterns Through Graph Topology2026On Measuring Long-Range Interactions in Graph Neural Networks2025Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification2024 · 1 citesNeural Priority Queues for Graph Neural Networks2023