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 installBasic 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) 
