Artikel mit Open-Access-Mandaten - Frederik WenkelWeitere Informationen
Verfügbar: 6
Scattering gcn: Overcoming oversmoothness in graph convolutional networks
Y Min, F Wenkel, G Wolf
Advances in neural information processing systems 33, 14498-14508, 2020
Mandate: US National Institutes of Health
Can hybrid geometric scattering networks help solve the maximum clique problem?
Y Min, F Wenkel, M Perlmutter, G Wolf
Advances in Neural Information Processing Systems 35, 22713-22724, 2022
Mandate: US National Institutes of Health, Fonds de recherche du Québec - Nature et …
Taxonomy of benchmarks in graph representation learning
R Liu, S Cantürk, F Wenkel, S McGuire, X Wang, A Little, L O’Bray, ...
Learning on Graphs Conference, 6: 1-6: 25, 2022
Mandate: US National Science Foundation, US National Institutes of Health, Fonds de …
Geometric scattering attention networks
Y Min, F Wenkel, G Wolf
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Mandate: US National Institutes of Health
Learnable filters for geometric scattering modules
A Tong, F Wenkel, D Bhaskar, K Macdonald, J Grady, M Perlmutter, ...
IEEE Transactions on Signal Processing, 2024
Mandate: US National Science Foundation, US National Institutes of Health, Natural …
Inferring dynamic regulatory interaction graphs from time series data with perturbations
D Bhaskar, DS Magruder, M Morales, E De Brouwer, A Venkat, F Wenkel, ...
Learning on Graphs Conference, 22: 1-22: 21, 2024
Mandate: Fonds de recherche du Québec - Nature et technologies
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