Disentangling the Computational Complexity of Network Untangling

Authors: Vincent Froese, Pascal Kunz, Philipp Zschoche

IJCAI 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical In this paper, we initiate a multivariate complexity analysis involving the following parameters: number of vertices, lifetime of the temporal graph, number of intervals per vertex, and the interval length bound. For both problem versions, we (almost) completely settle the parameterized complexity for all combinations of those four parameters, thereby delineating the border of fixed-parameter tractability.
Researcher Affiliation Academia Vincent Froese , Pascal Kunz and Philipp Zschoche Technische Universit at Berlin, Faculty IV, Institute of Software Engineering and Theoretical Computer Science, Algorithmics and Computational Complexity {vincent.froese, p.kunz.1, zschoche}@tu-berlin.de
Pseudocode No The paper describes algorithms in prose (e.g., in the proofs of Theorem 7 and Theorem 8), but it does not present them in a formally structured pseudocode block or an algorithm environment.
Open Source Code No The paper does not include any statement about releasing source code or provide links to a code repository for the methodology described.
Open Datasets No This is a theoretical paper focused on complexity analysis. It does not involve empirical studies with datasets or training.
Dataset Splits No This is a theoretical paper focused on complexity analysis. It does not involve empirical studies with datasets or validation splits.
Hardware Specification No This is a theoretical paper focused on complexity analysis. It does not describe any experiments that would require specific hardware specifications.
Software Dependencies No This is a theoretical paper focused on complexity analysis. It does not describe any experiments that would require specific software dependencies or their versions.
Experiment Setup No This is a theoretical paper focused on complexity analysis. It does not involve empirical experiments with a setup or hyperparameters.