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Florian Seiffarth
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2020 – today
- 2024
- [i3]Florian Seiffarth:
Rule Based Learning with Dynamic (Graph) Neural Networks. CoRR abs/2406.09954 (2024) - 2023
- [b1]Florian Seiffarth:
Theoretical and Practical Aspects of Finite Closure Systems for Mining and Learning. University of Bonn, Germany, 2023 - [j1]Florian Seiffarth, Tamás Horváth, Stefan Wrobel:
Maximal closed set and half-space separations in finite closure systems. Theor. Comput. Sci. 973: 114105 (2023) - 2022
- [c5]Florian Seiffarth
, Tamás Horváth, Stefan Wrobel:
A Fast Heuristic for Computing Geodesic Closures in Large Networks. DS 2022: 476-490 - [c4]Florian Seiffarth, Tamás Horváth, Stefan Wrobel:
A Simple Heuristic for the Graph Tukey Depth Problem with Potential Applications to Graph Mining. LWDA 2022: 21-32 - [i2]Florian Seiffarth, Tamás Horváth, Stefan Wrobel:
A Fast Heuristic for Computing Geodesic Cores in Large Networks. CoRR abs/2206.07350 (2022) - 2020
- [c3]Pascal Welke, Florian Seiffarth
HOPS: Probabilistic Subtree Mining for Small and Large Graphs. KDD 2020: 1275-1284 - [c2]Florian Seiffarth
Maximum Margin Separations in Finite Closure Systems. ECML/PKDD (1) 2020: 3-18 - [i1]Florian Seiffarth, Tamás Horváth, Stefan Wrobel:
Maximal Closed Set and Half-Space Separations in Finite Closure Systems. CoRR abs/2001.04417 (2020)
2010 – 2019
- 2019
- [c1]Florian Seiffarth
Maximal Closed Set and Half-Space Separations in Finite Closure Systems. ECML/PKDD (1) 2019: 21-37
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