NFFT Meets Krylov Methods: Fast Matrix-Vector Products for the Graph Laplacian of Fully Connected Networks. - Dominik Alfke; Daniel Potts; Martin Stoll; Toni Volkmer (Frontiers Appl. Math. Stat., 2018)

The Oracle of DLphi. - 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; et al. (CoRR, 2019)

Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks. - Dominik Alfke; Martin Stoll (CoRR, 2019)

Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs. - Dominik Alfke; Martin Stoll (CoRR, 2020)

A Study of Graph-Based Approaches for Semi-Supervised Time Series Classification. - Dominik Alfke; Miriam Gondos; Lucile Peroche; Martin Stoll (CoRR, 2021)

Pseudoinverse graph convolutional networks. - Dominik Alfke; Martin Stoll (Data Min. Knowl. Discov., 2021)