A comprehensive package for graph-based machine learning algorithms.
Project description
Machine Learning with Graphs Library
This package provides a comprehensive suite of graph-based machine learning algorithms, encapsulated in an easy-to-use Python library.
Features
- Graph Neural Networks (GNNs) including GCNs, GATs, and more.
- Graph clustering algorithms such as Spectral Clustering and Louvain method.
- Graph embedding methods like Node2Vec and DeepWalk.
- And many other graph-based algorithms.
Installation
To install the package, run the following command:
pip install machine_learning_with_graph
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