Metadata-Version: 2.2
Name: cool_graph
Version: 0.0.3
Summary: Python library for building Graph Neural Network by few steps
License: MIT
License-File: LICENSE.md
Requires-Dist: mlflow>=2.1.1
Requires-Dist: numpy>=1.19.5
Requires-Dist: omegaconf==2.3.0
Requires-Dist: pandas>=1.2.4
Requires-Dist: pyarrow>=6.0.1
Requires-Dist: tqdm>=4.64.0
Requires-Dist: urllib3>=1.26.9
Requires-Dist: hydra-core>=1.3.0
Requires-Dist: protobuf==3.20.0
Requires-Dist: loguru==0.6.0
Requires-Dist: optuna==3.6.1
Requires-Dist: ogb==1.3.6
Dynamic: description
Dynamic: license
Dynamic: requires-dist
Dynamic: summary

Python library for building Graph Neural Network by few steps, preproccesing graph data, logging all experiments with Mlflow. Including the default configuration for multitarget learning with up to 2 groups of node types
