GraphLand benchmark is introduced in the paper GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data (accepted at NeurIPS 2025 Datasets & Benchmarks Track). It provides node property prediction datasets from real-world industrial applications of graph machine learning. Note! GraphLand datasets (with the necessary preprocessing code) are now available in PyTorch Geometric, which is likely the easiest way to access them.