GRAPE 0.2.4-foss-2023a

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.

Accessing GRAPE 0.2.4-foss-2023a

To load the module for GRAPE 0.2.4-foss-2023a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2023a
module load GRAPE/0.2.4-foss-2023a

BEAR Apps Version

2023a

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

  • bioregistry 0.11.14
  • cache_decorator 2.2.0
  • compress_json 1.1.0
  • compress_pickle 2.1.0
  • curies 0.7.0
  • ddd_subplots 1.0.27
  • deflate_dict 1.2.0
  • dict_hash 1.3.0
  • downloaders 1.0.20
  • embiggen 0.11.95
  • ensmallen 0.8.98
  • environments_utils 1.0.13
  • GRAPE 0.2.4
  • humanize 4.8.0
  • IPy 1.01
  • jaro_winkler 2.0.3
  • keras_mixed_sequence 1.0.29
  • more_click 0.1.2
  • prompt_toolkit 3.0.43
  • pure_eval 0.2.2
  • py-cpuinfo-9.0.0
  • pydot 3.0.1
  • pystow 0.5.4
  • PyTrie 0.4.0
  • sanitize_ml_labels 1.1.0
  • stack_data 0.6.3
  • userinput 1.0.22
  • validate_email 1.3
  • validate_version_code 1.0.4
  • validators 0.33.0

More Information

For more information visit the GRAPE website.

Dependencies

This version of GRAPE has a direct dependency on: BeautifulSoup/4.12.2-GCCcore-12.3.0 foss/2023a imageio/2.33.1-gfbf-2023a IPython/8.14.0-GCCcore-12.3.0 matplotlib/3.7.2-gfbf-2023a OpenCV/4.8.1-foss-2023a-contrib pydantic/2.5.3-GCCcore-12.3.0 Python-bundle-PyPI/2023.06-GCCcore-12.3.0 scikit-learn/1.4.2-gfbf-2023a SciPy-bundle/2023.07-gfbf-2023a tqdm/4.66.1-GCCcore-12.3.0 typing-extensions/4.9.0-GCCcore-12.3.0

Last modified on 29th August 2024