GraphEmbedding
Python Graph Embedding Libary for Knowledge graph
This project provides Tensorflow2.0 implementatinons of several different popular graph embeddings for knowledge graph.
Installation:
graphembedding will be released on pypi soon.
python setup.py install
Basic Usages:
It's simple. example code is below.
The embedding object is returned as pd.Dataframe, so it can be used easily.
from graphembedding.playground import load_github
from graphembedding import complEx, transE
# Load Sample dataset
github_dataset = load_github()
triplets = github_dataset[['subject','relation','object']].values
# That's all. One line code.
node_embedding, edge_embedding = complEx(triplets)
# if you wanna use transE,
# node_embedding, edge_embedding = transE(triplets)
1 maintainer
Metadata
1 maintainer
Release files for graphembedding 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| graphembedding-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / graphembedding-0.1-py3-none-any.whl
| Download URL | graphembedding-0.1-py3-none-any.whl |
|---|---|
| Size | 9.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
eccb93fdb93852b432a3b3942155916d2dbe76f5642db68c1d4f6f4e5f340d72
|
|
BLAKE2b-256 checksum How to use checksums |
930916cf3d40eba27badd506c2490034a1befd6bc0bb50c40b63847165eea58a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.4.2 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.6.8
|
