network-science
There are 358 repositories under network-science topic.
briatte/awesome-network-analysis
A curated list of awesome network analysis resources.
benedekrozemberczki/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
benedekrozemberczki/awesome-community-detection
A curated list of community detection research papers with implementations.
benedekrozemberczki/karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
scikit-mobility/scikit-mobility
scikit-mobility: mobility analysis in Python
paulbrodersen/netgraph
Publication-quality network visualisations in python
benedekrozemberczki/littleballoffur
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
benedekrozemberczki/datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
CambridgeUniversityPress/FirstCourseNetworkScience
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
IBM/AMLSim
The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is critical to advance detection capabilities of money laundering activities.
HGX-Team/hypergraphx
HGX is a multi-purpose, open-source Python library for higher-order network analysis
xgi-org/xgi
CompleX Group Interactions (XGI) is a Python package for higher-order networks.
varoudis/depthmapX
depthmapX is a multi-platform Spatial Network Analysis Software
SkBlaz/py3plex
Py3plex - A multilayer complex network visualization and analysis library in python3
benedekrozemberczki/role2vec
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Ashish7129/Graph_Sampling
Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
rodmoioliveira/football-graphs
Graphs and passing networks in football.
JuliaGraphs/MultilayerGraphs.jl
A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.
jkbren/einet
Uncertainty and causal emergence in complex networks
benedekrozemberczki/tigerlily
TigerLily: Finding drug interactions in silico with the Graph.
netspractice/network-science
Practical assignments for the network science course
FeiGSSS/Awesome-HigherOrderGraph
Collection of papers relating data-driven higher-order graph/networks researches.
mdeff/ntds_2019
Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
mdeff/ntds_2017
Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
Graph-COM/GraphMaker
[TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
GiulioRossetti/TILES
TILES: an algorithm for community discovery in dynamic social networks
mdeff/ntds_2018
Material for the EPFL master course "A Network Tour of Data Science", edition 2018.
benedekrozemberczki/PDN
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
terence-lim/financial-data-science-notebooks
Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natural language processing, neural networks and LLMs
terence-lim/financial-data-science
Support financial data science workflow, manage large structured and unstructured data sets, and apply financial econometrics and machine learning
IngoScholtes/kdd2018-tutorial
Companion repository for the KDD'18 hands-on tutorial on Higher-Order Data Analytics for Temporal Network Data
ivanovitchm/datastructure
Repository for DCA0209, an undergraduate course about Data Structure and Algorithms
KatolaZ/NetBunch
Software for complex network analysis -- see www.complex-networks.net
ryanjgallagher/core_periphery_sbm
Bayesian network models for inferring core-periphery structure
almeidasilvaf/syntenet
An R package to infer and analyze synteny networks from protein sequences
mims-harvard/crank
Prioritizing network communities