specialprocedures/semnet

Semnet efficiently constructs graph structures from embeddings, enabling graph-based analysis and operations over large collections embedded texts, images, and more.

37
/ 100
Emerging

Available on PyPI.

Maintenance 10 / 25
Adoption 9 / 25
Maturity 18 / 25
Community 0 / 25

How are scores calculated?

Stars

5

Forks

—

Language

Python

License

MIT

Category

graph-node-embeddings

Last pushed

Jan 08, 2026

Monthly downloads

214

Commits (30d)

0

Dependencies

5

GitHub PyPI
Graph Node Embeddings · 50 tools

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/specialprocedures/semnet"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

eliorc/node2vec

Implementation of the node2vec algorithm.

72

ferencberes/online-node2vec

Node Embeddings in Dynamic Graphs

54

mims-harvard/nimfa

Nimfa: Nonnegative matrix factorization in Python

51

mims-harvard/decagon

Graph convolutional neural network for multirelational link prediction

51

claws-lab/jodie

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in...

49

Explore Embedding Tools

All categories Trending Embeddings directory Insights