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

graph embedding, density friendly decomposition

cogdl

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

snore-embedding

SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations

littleballoffur

A general purpose library for subsampling graphs.

pyalink-flink-1-9

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

gembed

Python package for graph embedding

pyalink

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

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).

pyalink-flink-1-10

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

pyalink-flink-1-11

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

weighted-metapath2vec

Weighted Metapath2Vec Graph Embedding

evalne

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

pyalink-flink-1-12

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

dgcnn

TensorFlow 2 implementation of Deep Graph Convolutional Neural Networks.

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

dortmund2array

Tool to convert datasets from "Benchmark Data Sets for Graph Kernels" (K. Kersting et al., 2016) into a format suitable for deep learning research.

kgraph-ts

Graph Embedding for Interpretable Time Series Clustering

mica

Mutual Information-based Clustering Analysis tool designed for scRNA-seq data

euler-gl

A toolset for network representation learning.