PyPI page
Home page
Author:
Akanda Wahid-Ul-Ashraf
License:
MIT License
Copyright (c) 2026 Akanda Wahid-Ul-Ashraf
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associ...
Summary:
Graph-augmented semi-supervised node classification: boost graph neural networks (GCN, GraphSAGE, GAT, GIN) by replacing the adjacency with node-similarity representatives (Katz, Rooted PageRank, Graph Gravity, LLM text-embedding kNN) -- single view, multi-view training, sparse mode for large graphs
Latest version:
0.7.0
Required dependencies:
networkx
|
numpy
|
scikit-learn
|
scipy
|
torch
Optional dependencies:
build
|
pytest
|
sentence-transformers
|
twine
Downloads last day:
12
Downloads last week:
16
Downloads last month:
46
7-day smoothing