tag:joss.theoj.org,2005:/papers/tagged/Network?page=2Journal of Open Source Software2023-11-07T16:38:40ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/43692023-11-07T16:38:40Z2023-11-09T00:00:29Zpyflowline: a mesh-independent river network generator for hydrologic modelsacceptedv0.2.22023-03-27 23:32:35 UTC912023-11-07 16:38:40 UTC820235446ChangLiaoAtmospheric, Climate, and Earth Sciences, Pacific Northwest National Laboratory, Richland, WA, USA0000-0002-7348-8858MattG.CooperAtmospheric, Climate, and Earth Sciences, Pacific Northwest National Laboratory, Richland, WA, USA0000-0002-0165-209X10.21105/joss.05446https://doi.org/10.5281/zenodo.10076553Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.05446.pdfPython, hydrologic model, river networks, mesh, geographic information systemtag:joss.theoj.org,2005:Paper/45982023-10-13T08:34:18Z2023-10-14T00:00:39Zchessboard: An R package for creating network connections based on chess movesaccepted0.12023-07-13 08:51:14 UTC902023-10-13 08:34:18 UTC820235753NicolasCasajusFRB-CESAB, Montpellier, France0000-0002-5537-5294ÉricaRievrsBorgesFRB-CESAB, Montpellier, France0000-0001-7751-6265ÉricTabacchiCNRS, Toulouse, France0000-0001-7729-4439GuillaumeFriedANSES, Montpellier, France0000-0002-3653-195XNicolasMouquetFRB-CESAB, Montpellier, France, MARBEC, Univ Montpellier, CNRS, IFREMER, IRD, Montpellier, France0000-0003-1840-698410.21105/joss.05753https://doi.org/10.5281/zenodo.8424609Rhttps://joss.theoj.org/papers/10.21105/joss.05753.pdfr, package, networks, neighbors, edgestag:joss.theoj.org,2005:Paper/40712023-10-08T07:45:43Z2023-10-09T09:21:20Zbrains-py, A framework to support research on energy-efficient unconventional hardware for machine learningaccepted1.0.22022-12-04 18:53:21 UTC902023-10-08 07:45:43 UTC820235573UnaiAlegre-IbarraMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, Netherlands0000-0001-5957-7945Hans-ChristianRuizEulerMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsHumaidA.MollahMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsBozhidarP.PetrovMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsSrikumarS.SastryMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsMarcusN.BoonMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsMichelP.de JongMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsMohamadrezaZolfagharinejadMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsFlorentinaM. j.UitzetterMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsBramvan de VenMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsAntónioJ. Sousade AlmeidaMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsSachinKingeMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsWilfredG.van der WielAdvanced Tech., Materials Engineering Div., Toyota Motor Europe, Belgium10.21105/joss.05573https://doi.org/10.5281/zenodo.8410268Pythonhttps://joss.theoj.org/papers/10.21105/joss.05573.pdfDopant network processing units (DNPUs), Material Learning, Machine Learning Hardware design, Efficient Computing, Materials Sciencetag:joss.theoj.org,2005:Paper/44392023-10-05T09:52:45Z2023-10-06T00:01:05ZNORDic: a Network-Oriented package for the Repurposing of Drugsacceptedv2.4.22023-04-18 11:32:05 UTC902023-10-05 09:52:45 UTC820235532ClémenceRédaUniversité Paris Cité, Neurodiderot, Inserm, F-75019 Paris, France0000-0003-3238-0258AndréeDelahaye-DuriezUniversité Paris Cité, Neurodiderot, Inserm, F-75019 Paris, France, Université Sorbonne Paris Nord, UFR de santé, médecine et biologie humaine, F-93000 Bobigny, France, Unité fonctionnelle de médecine génomique et génétique clinique, Hôpital Jean Verdier, AP-HP, F-93140 Bondy, France0000-0003-4324-737210.21105/joss.05532https://doi.org/10.5281/zenodo.8355529Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.05532.pdfnetwork analysis, boolean network, network inference, biomarker identification, drug repurposingtag:joss.theoj.org,2005:Paper/46202023-10-03T09:14:22Z2023-10-12T14:13:09ZTensorInference: A Julia package for tensor-based probabilistic inferenceaccepted0.2.02023-07-22 22:27:34 UTC902023-10-03 09:14:22 UTC820235700MartinRoa-VillescasEindhoven University of Technology0009-0009-0291-503XJin-GuoLiuHong Kong University of Science and Technology (Guangzhou)0000-0003-1635-267910.21105/joss.05700https://doi.org/10.5281/zenodo.8399580Juliahttps://joss.theoj.org/papers/10.21105/joss.05700.pdfprobabilistic graphical models, tensor networks, probabilistic inferencetag:joss.theoj.org,2005:Paper/45652023-10-01T12:42:45Z2023-10-02T00:01:29ZPyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphsacceptedv1.3.12023-06-26 18:09:02 UTC902023-10-01 12:42:45 UTC820235713FedericoErricaNEC Laboratories Europe, Germany0000-0001-5181-2904DavideBacciuUniversity of Pisa, Italy0000-0001-5213-2468AlessioMicheliUniversity of Pisa, Italy0000-0001-5764-523810.21105/joss.05713https://doi.org/10.5281/zenodo.8396373Pythonhttps://joss.theoj.org/papers/10.21105/joss.05713.pdfMachine Learning, Graph Networks, Deep Learning for Graphstag:joss.theoj.org,2005:Paper/45702023-09-22T03:40:40Z2023-09-25T08:21:56ZBayesFlow: Amortized Bayesian Workflows With Neural Networksacceptedv1.1.12023-06-27 14:58:24 UTC892023-09-22 03:40:40 UTC820235702StefanT.RadevCluster of Excellence STRUCTURES, Heidelberg University, Germany0000-0002-6702-9559MarvinSchmittCluster of Excellence SimTech, University of Stuttgart, Germany0000-0003-1293-820XLukasSchumacherInstitute for Psychology, Heidelberg University, Germany0000-0003-1512-8288LasseElsemüllerInstitute for Psychology, Heidelberg University, Germany0000-0003-0368-720XValentinPratzVisual Learning Lab, Heidelberg University, Germany0000-0001-8371-3417YannikSchälteLife and Medical Sciences Institute, University of Bonn, Germany0000-0003-1293-820XUllrichKötheVisual Learning Lab, Heidelberg University, Germany0000-0001-6036-1287Paul-ChristianBürknerCluster of Excellence SimTech, University of Stuttgart, Germany, Department of Statistics, TU Dortmund University, Germany0000-0001-5765-899510.21105/joss.05702https://doi.org/10.5281/zenodo.8346393Pythonhttps://joss.theoj.org/papers/10.21105/joss.05702.pdfsimulation-based inference, likelihood-free inference, Bayesian inference, amortized Bayesian inferencetag:joss.theoj.org,2005:Paper/42602023-09-20T00:32:03Z2023-09-21T00:01:17ZSpikeometric: Linear Non-Linear Cascade Spiking Neural Networks with Pytorch Geometricacceptedv1.0.02023-02-23 16:23:51 UTC892023-09-20 00:32:03 UTC820235451JakobL.SønstebøDepartment of Numerical Analysis and Scientific Computing, Simula Research Laboratory, Oslo, Norway0009-0009-0584-9293HermanBrunborgDepartment of Physics, University of Oslo, Oslo, NorwayMikkelElleLepperødDepartment of Numerical Analysis and Scientific Computing, Simula Research Laboratory, Oslo, Norway, Department of Physics, University of Oslo, Oslo, Norway0000-0002-4262-554910.21105/joss.05451https://doi.org/10.5281/zenodo.8358903Pythonhttps://joss.theoj.org/papers/10.21105/joss.05451.pdfpython, computational neuroscience, machine learning, spiking neural networks, generalized linear models, linear non-linear poisson modelstag:joss.theoj.org,2005:Paper/40032023-08-25T03:11:09Z2023-08-26T00:01:24ZGNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modelingacceptedv1.0.12022-11-13 22:08:21 UTC882023-08-25 03:11:09 UTC820235025KrishnaKumarAssistant Professor, University of Texas at Austin, Texas, USA0000-0003-2144-5562JosephVantasselAssistant Professor, Virginia Tech, Virginia, USA, Texas Advanced Computing Center, University of Texas at Austin, Texas, USA0000-0002-1601-335410.21105/joss.05025https://doi.org/10.5281/zenodo.8249813Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.05025.pdfmachine learning, simulationtag:joss.theoj.org,2005:Paper/39922023-08-14T16:45:04Z2023-08-17T12:43:29ZdiscourseGT: An R package to analyze discourse networks in educational contextsaccepted1.1.82022-11-09 00:14:01 UTC882023-08-14 16:45:04 UTC820235143QiCuiUniversity of California, San Diego0000-0002-3034-1143JoshuaP.LeUniversity of California, San Diego0000-0003-0872-7098AlbertChaiUniversity of California, San Diego0000-0002-2340-7044AndrewS. Lee WithoutOrcidUniversity of California, Los AngelesJitarthSheth WithoutOrcidUniversity of California, San DiegoKevinBanh WithoutOrcidUniversity of California, San DiegoPriyaPahal WithoutOrcidUniversity of California, San DiegoKatherineLy WithoutOrcidUniversity of California, San DiegoStanleyM.LoUniversity of California, San Diego0000-0003-3574-219710.21105/joss.05143https://doi.org/10.5281/zenodo.8164950Rhttps://joss.theoj.org/papers/10.21105/joss.05143.pdfstudent group work, discourse network, graph theory, discourseGT