Graph Embedding Python Packages

karateclub

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

pymde

Minimum-distortion embedding with PyTorch

torch-geometric-temporal

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

cogdl

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

graphembed-rs

graph embedding, density friendly decomposition

littleballoffur

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

pyalink-flink-1-9

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

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.

pyalink-flink-1-11

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

graph-stitcher

Graph algorithms to merge two graphs based on stitching.

pyalink-flink-1-12

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

graphsense

graphsense is a library to train and infer graph embedding based code suggestion models

evalne

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

bluegraph

Python framework for graph analytics and co-occurrence analysis

snore-embedding

SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations

gembed

Python package for graph embedding

weighted-metapath2vec

Weighted Metapath2Vec Graph Embedding

mica

Mutual Information-based Non-linear Clustering Analysis

dgcnn

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

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

tigerlily

TigerLily: Finding drug interactions in silico with the Graph.