GRAPE

GRAPE (Graph Representation leArning, Predictions and Evaluation) is a fast graph processing and embedding library, designed to scale with big graphs and to run on both off-the-shelf laptop and desktop computers and High-Performance Computing clusters of workstations. The library is written in Rust and Python programming languages, and has been developed by AnacletoLAB (Dept. of Computer Science of the University of Milan), in collaboration with the Robinson Lab - Jackson Laboratory for Genomic Medicine and with the BBOP - Lawrence Berkeley National Laboratory. The library is composed of two main modules, Ensmallen, which is the Rust/Python high-performance graph processing submodule, and Embiggen, which is the Python Graph Representation learning, Prediction and Evaluation submodule.

More Information

For more information visit the GRAPE website.

Available Versions

These versions of GRAPE are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.