- Born 29.08.1992 in Bassum
- Abitur 2011 at Gymnasium Syke
- 2011 - 2017: Student of Mathematics at Otto-von-Guericke-University Magdeburg; focus on Optimization, Finite Element Methods and Model Order Reduction
- Since 01.10.2017 PhD student, Scientific Computing TU Chemnitz
D.Alfke, M. Stoll, Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs. 2020. Preprint available online at https://arxiv.org/abs/2008.00720.
A previous version was published at https://arxiv.org/abs/1905.10224 under the name Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks.
D. Alfke, D. Potts, M. Stoll, and T. Volkmer, NFFT Meets Krylov Methods: Fast Matrix-Vector Products for the Graph Laplacian of Fully Connected Networks. Frontiers in Applied Mathematics and Statistics, 4 (2018). Available online at https://doi.org/10.3389/fams.2018.00061.
More information and additional material available at the Codes section.