Papers matching “graph representation learning” 104
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Autism spectrum disorder classification based on interpersonal neural synchrony: Can classification be improved by dyadic neural biomarkers using unsupervised graph representation learning?2022 arXiv (Cornell University) preprint Neuroscience Functional Brain Connectivity Studies Open access
Christian P Gerloff, Kerstin Konrad, Martin Schulte‐Rüther, Vanessa Reindl
0citations -
Autism Spectrum Disorder Classification Based on Interpersonal Neural Synchrony: Can Classification be Improved by Dyadic Neural Biomarkers Using Unsupervised Graph Representation Learning?2022 Lecture notes in computer science conference-paper Neuroscience Autism Spectrum Disorder Research Open access
Christian Gerloff, Kerstin Konrad, Martin Schulte‐Rüther, Vanessa Reindl
7citations -
TopoEmbedX: A General Framework for Representation Learning on Topological Domains2026 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access
Florian Frantzen, Ibrahem ALJabea, Inês Henriques-Cadby, Theodore Papamarkou, Mustafa Hajij, Michael T. Schaub
0citations -
Shared Data and Algorithms for Deep Learning in Fundamental Physics2021 RWTH Publications (RWTH Aachen) article Physics and Astronomy Particle physics theoretical and experimental studies Open access
L. Benato, Erik Buhmann, Martin Erdmann, P. Fackeldey, Jonas Glombitza, Gregor Kasieczka, +4 more
0citations -
Shared Data and Algorithms for Deep Learning in Fundamental Physics2022 Computing and Software for Big Science article Physics and Astronomy Particle physics theoretical and experimental studies Open access
L. Benato, Erik Buhmann, Martin Erdmann, P. Fackeldey, Jonas Glombitza, N. M. Hartmann, +7 more
25citations