JOSS Papers: network science

All Papers
3539
 Published Papers
3077
 Active Papers
462
published Published 9 months ago

Additive Bayesian Networks

R M4
@matteodelucchi
10.21105/joss.06822
published Published 12 months ago

pymnet: A Python Library for Multilayer Networks

Python
@ercco
10.21105/joss.06930
published Published over 1 year ago

HyperNetX: A Python package for modeling complex network data as hypergraphs

Python
@brendapraggastis
10.21105/joss.06016
published Published almost 2 years ago

brains-py, A framework to support research on energy-efficient unconventional hardware for machine learning

Python
@ualegre
10.21105/joss.05573
published Published over 2 years ago

MultilayerGraphs.jl: Multilayer Network Science in Julia

Julia
@pitmonticone
10.21105/joss.05116
published Published over 2 years ago

cosasi: Graph Diffusion Source Inference in Python

Python
@lucasmccabe
10.21105/joss.04894
published Published about 3 years ago

UnlockNN: Uncertainty quantification for neural network models of chemical systems

Python PureBasic
@a-ws-m
10.21105/joss.03700
published Published about 4 years ago

netrd: A library for network reconstruction and graph distances

Python
@sdmccabe
10.21105/joss.02990
published Published about 4 years ago

BetaML: The Beta Machine Learning Toolkit, a self-contained repository of Machine Learning algorithms in Julia

Julia
@sylvaticus
10.21105/joss.02849
published Published over 4 years ago

nap: A molecular dynamics package with parameter-optimization programs for classical and machine-learning potentials

M4 Python Fortran
@ryokbys
10.21105/joss.02768
Displaying papers 1 - 10 of 12 in total

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ISSN 2475-9066