JOSS Papers: network dynamics

Published Papers

published Published 5 months ago

H-HIGNN Toolkit: A Software for Efficient and Scalable Simulation of Large-Scale Particulate Suspensions Using GNNs and H-Matrices

C++ Python

10.21105/joss.08777

published Published 10 months ago

idinn: A Python Package for Inventory-Dynamics Control with Neural Networks

Python

10.21105/joss.08508

published Published about 2 years ago

Raphtory: The temporal graph engine for Rust and Python

Python Rust

10.21105/joss.05940

published Published over 2 years ago

calorine: A Python package for constructing and sampling neuroevolution potential models

Python C++ Jupyter Notebook

10.21105/joss.06264

published Published over 2 years ago

PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator

Python

10.21105/joss.05881

published Published almost 3 years ago

AmpTorch: A Python package for scalable fingerprint-based neural network training on multi-element systems with integrated uncertainty quantification

Python C++ C G-code GAP

10.21105/joss.05035

published Published almost 4 years ago

TrackerControl: Transparency and Choice around App Tracking

Java C SCSS

10.21105/joss.04270

published Published about 5 years ago

netrd: A library for network reconstruction and graph distances

Python

10.21105/joss.02990

published Published over 5 years ago

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

M4 Python Fortran

10.21105/joss.02768

published Published over 7 years ago

IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks

Python C Matlab Cuda

10.21105/joss.01081

Displaying papers 1 - 10 of 11 in total

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