The Walrus
The Walrus: a library for the calculation of hafnians, Hermite polynomials and Gaussian boson sampling - Published in JOSS (2019)
CircuitGraph
CircuitGraph: A Python package for Boolean circuits - Published in JOSS (2020)
hatchet
Graph-indexed Pandas DataFrames for analyzing hierarchical performance data
oc_ocdm
Object mapping library for manipulating RDF graphs that are compliant with the OpenCitations datamodel.
quantum-evolution-kernel
A Graph Machine Learning library using Quantum Computing
SGCP
SGCP: a spectral self-learning method for clustering genes in co-expression networks
pywhy-graphs
[Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
Economiccomplexity
Economiccomplexity: Computational Methods for Economic Complexity - Published in JOSS (2020)
https://github.com/bluebrain/bluegraph
Python framework for graph analytics and co-occurrence analysis
https://github.com/cumbof/honto
A novel method for assessing and measuring homophily in networks
canvasXpress
CanvasXpress: A JavaScript Library for Data Analytics with Full Audit Trail Capabilities.
@neuprint/vimo-sketches
A React component to sketch / search for network motifs.
https://github.com/jmrozanec/ts2g2
Generate graphs from time series and time series from graphs.
GraphsOptim
A package for graph optimization algorithms that rely on mathematical programming.
https://github.com/juliagraphs/graphdataframebridge.jl
Tools for interoperability between DataFrame objects and LightGraphs and MetaGraphs objects
graphresolvingsets.jl
Exact algorithms and heuristics for computing resolving sets and metric dimensions on graphs
https://github.com/philipdaubmeier/graphiot
Visualizes IoT sensor data in time series graphs. Includes .NET Core clients for Digitalstrom, Viessmann, Netatmo, Sonnen and WeConnect APIs.
https://github.com/aveek-saha/graph-conv-net
A TensorFlow 2 implementation of Graph Convolutional Networks (GCN)
https://github.com/compnet/topomeasures
Partition comparison measures for community detection
https://github.com/benmaier/biasedrandomwalks
Provides classes around biased random walks on networks.
https://github.com/aida-ugent/debayes
DeBayes: a Bayesian Method for Debiasing Network Embeddings (ICML 2020).
https://github.com/aveek-saha/graph-attention-net
A TensorFlow 2 implementation of Graph Attention Networks (GAT)
graphster
spark-based library that helps construct and query knowledge graphs from unstructured and structured data
malgraphiq
Transform your malware sandbox reports and execution traces into behavior and category graphs and plot their Windows Behavior Catalog (WBC) behavior identification.
mangrove
Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.
community-aware-graph-transformer
Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree biases in message-passing mechanism and developed by NS Lab @ CUK based on pure PyTorch backend.
MultilayerGraphs.jl
MultilayerGraphs.jl: Multilayer Network Science in Julia - Published in JOSS (2023)
Carnival
Carnival: JVM Property graph data unification toolkit - Published in JOSS (2025)
https://github.com/aida-ugent/fipr
The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer (ECML-PKDD 2021).
https://github.com/asreview/synergy-dataset
SYNERGY - Open machine learning dataset on study selection in systematic reviews
https://github.com/cbg-ethz/graphclust_neurips
Network-Based Clustering of Pan-Cancer Data Accounting for Clinical Covariates
https://github.com/aida-ugent/csne
Source code for CSNE: Conditional Signed Network Embeddings (CIKM2020)
https://github.com/kahypar/mt-kahypar
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.
https://github.com/asjadnaqvi/the-stata-guide
Files for the Stata Guide on Medium https://medium.com/the-stata-guide
stochasticblockmodelvariants.jl
Simulation and inference for contextual and neural SBMs
https://github.com/algebraicjulia/cliquetrees.jl
A Julia library for computing tree decompositions and chordal completions of graphs.
toxic-video-games-gnn
Toxic video game classification with graph neural networks
https://github.com/aaronjs99/planmux
PlanMux: Path Planning using Parallel/Multiplexed Computing
https://github.com/abrg-models/morphologica
C++ header-only graphing and data visualization with Modern OpenGL
data2neo
Data2Neo is a library that simplifies the conversion of data in relational format to a graph knowledge database.
