Network Analysis in Python

A library for graph deep learning research

🗡 A tool to visualize Dagger 2 dependency graphs

NetworKit is a growing open-source toolkit for large-scale network analysis.

An optimized graphs package for the Julia programming language

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

🔧 Python Random Graph Generator

Exports task execution graph as .dot file

Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)

"OpenGraph: Towards Open Graph Foundation Models"

Generate graphs with gnuplot or matplotlib (Python) from sar data

Official repository for "Categorical Normalizing Flows via Continuous Transformations"

A library for graph analysis written Julia.

code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"

This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation"

DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData' 2022

MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.

Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation

Hypothesis strategy to generate NetworkX graphs.

Pre-trained models for our work on Temporal Graph Generation