JOSS Papers: graph neural networks

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3949
 Published Papers
3410
 Active Papers
539
published Published 12 days ago

geospaNN: A Python package for geospatial neural networks

Python
@WentaoZhan1998
10.21105/joss.08389
published Published 15 days ago

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

C++ Python
@zishengye
10.21105/joss.08777
published Published 8 months ago

HeXtractor: Extracting Heterogeneous Graphs from Structured and Textual Data for Graph Neural Networks

Python Jupyter Notebook
@maddataanalyst
10.21105/joss.08057
published Published almost 2 years ago

DeepRank2: Mining 3D Protein Structures with Geometric Deep Learning

Python Jupyter Notebook
@gcroci2
10.21105/joss.05983
published Published over 2 years ago

GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling

Python Jupyter Notebook
@kks32
10.21105/joss.05025
published Published almost 3 years ago

GraphNeT: Graph neural networks for neutrino telescope event reconstruction

Python
@asogaard
10.21105/joss.04971
published Published over 3 years ago

UnlockNN: Uncertainty quantification for neural network models of chemical systems

Python PureBasic
@a-ws-m
10.21105/joss.03700
Displaying 7 papers

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ISSN 2475-9066