ogb
This project offers a range of benchmark datasets, data loaders, and standardized evaluators for graph machine learning tasks across various domains. Compatible with PyTorch Geometric and Deep Graph Library, it supports prediction tasks at node, link, and graph levels. The repository ensures easy dataset access with standardized splits and performance evaluation, suitable for both small and large-scale graphs. Continuous efforts are being made to expand its offerings for advanced graph machine learning. Installation is streamlined via pip, prioritizing version consistency.
