Graph partitioning Algorithms
Reason this release was yanked:
it's not working, import error
Project description
Graph Partitioning
Graph Partitioning is an age-old problem with applications in various domains, such as routing vehicles for delivery and finding the right target for immunizations to control a pandemic. Graph Convolution Networks (GCN) employ deep learning techniques to solve the problem of graph partitioning.
Installation
You can install the graph-partition from PyPI:
pip install graph-partition
How to Use
Primarily there are three major algorithms are there
- Graph Convolutional Neural Network
- Spectral Clustering
- Constrained K-Means Clustering
Using of Graph Convolutional Network
import urllib.request
from scipy.spatial import distance_matrix
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