Factual package intelligence from PyPI

hybrid-graph 0.61 package intelligence

A python package for accessing and Hybrid-graph Datasets and train-eval framework for GNNs

pip install hybrid-graph

Current version
0.61
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
63.4 KiB
Release history
6 releases with files
Median release cadence
0 days

hybrid-graph dependencies

PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch
  2. torch-scatter
  3. torch-sparse
  4. torch-geometric ==2.2.0
  5. ipdb ==0.13.13
  6. ipython ==8.13.2
  7. matplotlib ==3.7.1
  8. networkx ==3.1
  9. numpy ==1.24.2
  10. pytorch-lightning ==1.9.3
  11. PyYAML ==6.0
  12. scikit-learn ==1.2.1
  13. seaborn ==0.12.2
  14. torchmetrics ==0.11.1

Compatibility and release files

hybrid-graph publishes 1 wheel and 1 source archive for version 0.61. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .