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ORCIDDominik Alfke
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2020 – today
- 2021
[j2]Dominik Alfke
, Martin Stoll:
Pseudoinverse graph convolutional networks. Data Min. Knowl. Discov. 35(4): 1318-1341 (2021)- [i5]Dominik Alfke, Miriam Gondos, Lucile Peroche, Martin Stoll:
A Study of Graph-Based Approaches for Semi-Supervised Time Series Classification. CoRR abs/2104.08153 (2021) - 2020
- [i4]Dominik Alfke, Martin Stoll:
Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs. CoRR abs/2008.00720 (2020)
2010 – 2019
- 2019
- [i3]Dominik Alfke, Weston Baines, Jan Blechschmidt, Mauricio J. del Razo Sarmina, Amnon Drory, Dennis Elbrächter, Nando Farchmin, Matteo Gambara, Silke Glas, Philipp Grohs, Peter Hinz, Danijel Kivaranovic, Christian Kümmerle, Gitta Kutyniok, Sebastian Lunz, Jan MacDonald, Ryan Malthaner, Gregory Naisat, Ariel Neufeld, Philipp Christian Petersen, Rafael Reisenhofer, Jun-Da Sheng, Laura Thesing, Philipp Trunschke, Johannes von Lindheim, David Weber, Melanie Weber:
The Oracle of DLphi. CoRR abs/1901.05744 (2019) - [i2]Dominik Alfke, Martin Stoll:
Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks. CoRR abs/1905.10224 (2019) - 2018
- [j1]Dominik Alfke, Daniel Potts, Martin Stoll, Toni Volkmer:
NFFT Meets Krylov Methods: Fast Matrix-Vector Products for the Graph Laplacian of Fully Connected Networks. Frontiers Appl. Math. Stat. 4: 61 (2018) - [i1]Dominik Alfke, Daniel Potts, Martin Stoll, Toni Volkmer:
NFFT meets Krylov methods: Fast matrix-vector products for the graph Laplacian of fully connected networks. CoRR abs/1808.04580 (2018)
Coauthor Index
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