graph-generation

There are 62 repositories under graph-generation topic.

  • networkx/networkx

    Network Analysis in Python

    Language:Python15k2773.2k3.3k
  • divelab/DIG

    A library for graph deep learning research

    Language:Python1.9k31210284
  • scabbard

    arunkumar9t2/scabbard

    🗡 A tool to visualize Dagger 2 dependency graphs

    Language:Kotlin859126035
  • networkit/networkit

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

    Language:C++77228336229
  • sbromberger/LightGraphs.jl

    An optimized graphs package for the Julia programming language

    Language:Julia67227581185
  • lrjconan/GRAN

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

    Language:C++471112196
  • HKUDS/OpenGraph

    [EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"

    Language:Python28015633
  • pyrgg

    sepandhaghighi/pyrgg

    🔧 Python Random Graph Generator

    Language:Python20644931
  • harryjo97/GDSS

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

    Language:Python14622422
  • mmalohlava/gradle-visteg

    Exports task execution graph as .dot file

    Language:Groovy13181724
  • juliojsb/sarviewer

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

    Language:Python6981221
  • phlippe/CategoricalNF

    Official repository for "Categorical Normalizing Flows via Continuous Transformations"

    Language:Python564311
  • Graph-COM/GraphMaker

    [TMLR] "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"

    Language:Python52116
  • Shen-Lab/LDM-3DG

    [ICLR 2024] "Latent 3D Graph Diffusion" by Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen

    Language:Python41476
  • CarloLucibello/Erdos.jl

    A library for graph analysis written Julia.

    Language:Julia4033910
  • DongqiFu/DPPIN

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

    Language:Python27106
  • tufts-ml/graph-generation-vi

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

    Language:Python27916
  • GRAPH-0/GraphGDP

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

    Language:Python23256
  • yuntaoshou/Graph-Diffusion-Models-A-Comprehensive-Survey-of-Methods-and-Applications

    Awesome Graph Diffusion Models is a collection of graph generation works, including papers, codes and datasets.

  • basiralab/MultiGraphGAN

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

    Language:Python22704
  • pckroon/hypothesis-networkx

    Hypothesis strategy to generate NetworkX graphs.

    Language:Python19254
  • madaan/temporal-graph-gen

    Pre-trained models for our work on Temporal Graph Generation

    Language:Python17511
  • savnani5/Motion-Planning-of-a-differential-drive-robot

    The differential drive has an ESP32 board for wireless connectivity a Client-Server network is established between the server laptop and client ESP to transmit the coordinates to the robot. An overhead camera is used to visually survey the obstacle course and image processing is used to segment the obstacles and the robot from the captured images. Further, the obstacle course is used to make a "visibility graph" and finally "Dijkstra's shortest path algorithm" is used to search the shortest pah from the robot position to the goal position. Kinematic Equations of the differential drive are used to drive the robot on the path obtained. Finally, a pygame simulation of the robot movement is made to predict the behavior of the robot in real world and the robot is driven using this simulation.

    Language:Python16214
  • RobertCsordas/molecule_gen

    Implementation of "Learning Deep Generative Models"

    Language:Python13303
  • overtime

    overtime3/overtime

    A Temporal Networks Library written in Python

    Language:Python12127
  • malbarbo/fera

    An aggregation of algorithms, data structures and supporting crates

    Language:Rust11403
  • gialdetti/netsci

    Analyzing Complex Networks with Python

    Language:Python10010
  • basiralab/ABMT

    ABMT (Adversarial Brain Multiplex Translator) for brain graph translation using geometric generative adversarial network (gGAN).

    Language:Python8302
  • Graph-COM/LayerDAG

    code for the paper "LayerDAG: A Layerwise Autoregressive Diffusion Model of Directed Acyclic Graphs"

    Language:Python8200
  • basiralab/CGTS-GAN

    Topology-guided cyclic graph generation using GCNs.

    Language:Python620
  • Gogis0/chordless-graphs-generator

    Counting chordless cycles in undirected graphs

    Language:C++5101
  • koguz/APAL

    APAL: Adjacency Propagation Algorithm for overlapping community detection

    Language:Python5101
  • ronin13/dotler

    Graphviz dot generating concurrent lockless web crawler written in Go

    Language:Go5201
  • basiralab/4D-FED-GNN

    Federated time-dependent graph evolution prediction with missing timepoints.

    Language:Python4303
  • poisedbit/graphs

    Fully client-side web charting app for spreadsheets.

    Language:Svelte4200
  • tmadeira/ktrees

    Computer Science undergraduate thesis on uniform generation of k-trees for learning the structure of Bayesian networks (USP 2016)

    Language:Go4201