Temporal Graph Benchmark for Machine Learning on Temporal Graphs

Understand

We present the Temporal Graph Benchmark (TGB), a collection of challenging and diverse benchmark datasets for realistic, reproducible, and robust evaluation of machine learning models on temporal graphs.

• TGB datasets are of large scale, spanning years in duration, incorporate both node and edge-level prediction tasks and cover a diverse set of domains including social, trade, transaction, and transportation networks.
• For both tasks, we design evaluation protocols based on realistic use-cases.
• We extensively benchmark each dataset and find that the performance of common models can vary drastically across datasets.