Graph Embedding Python Packages

pymde

Minimum-distortion embedding with PyTorch

karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

torch-geometric-temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

graphembed-rs

Python bindings for the high‑performance Rust graph/network embedding library graphembed

pyalink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

cogdl

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

pyalink-flink-1-11

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

pyalink-flink-1-10

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

zincbase

A state of the art knowledge base

pyalink-flink-1-9

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

snore-embedding

SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations

littleballoffur

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

pyalink-flink-1-12

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

graph-stitcher

This tool is a little framework to determine possiblemerges between two graphs based on a set of requiredadditional relationships (aka as stitches / edges).

gembed

Python package for graph embedding

weighted-metapath2vec

A weighted alternative to metapath2vec for heterogenous graph embedding

evalne

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

graphsense

GraphSense is a framework that can be used to easily train and use code suggestion models with minimal data preprocessing and resource consumption

bluegraph

Python framework for graph analytics and co-occurrence analysis

dgcnn

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

mica

Mutual Information-based Non-linear Clustering Analysis

kgraph-ts

Graph Embedding for Interpretable Time Series Clustering

dortmund2array

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tigerlily

TigerLily: Finding drug interactions in silico with the Graph.