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PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting Algorithms with Polynomially-Improved Approximation Factors for the $2 \rightarrow q$ Norm, and Applications A computational phase transition for learning-to-sample from Ising models Covering vertices by sequential stars Fermi-Dirac machines as quantizations of neurons A Comprehensive Evaluation of Vertex Elimination Algorithms for Algorithmic Differentiation A Tight Bound on Localization of Electrical Flows Optimal Dimension-Free Sampling for Regularized Classification Reducing the Randomness in Partition Oracles for Bounded Degree Minor-Free Graphs Beyond the Half-Approximation: Fair and Efficient Online Class Matching Efficient Uniform Sampling of Surjections via their Profiles Tractable Maximization of Budgeted Phylogenetic Diversity on Networks Utilizing Node Scanwidth Fairness in Aggregation: Optimal Top-$k$ and Improved Full Ranking Learning-Augmented Online Scheduling with Parsimonious Preemption Entropy Equivalence Testing Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees The Secretary Problem with a Stochastic Precursor Polynomial-Time Robust Multiclass Linear Classification under Gaussian Marginals Efficient Banzhaf-Based Data Valuation for $k$-Nearest Neighbors Classification Block-Sphere Vector Quantization An Approximation Algorithm for Graph Label Selection Iterative Chow Filtering for Learning with Distribution Shift Complexity of Non-Log-Concave Sampling in Fisher Information Stochastic Matching via Local Sparsification Finite Sample Bounds for Learning with Score Matching What is Learnable in Valiant's Theory of the Learnable? Provable Quantization with Randomized Hadamard Transform Min-Max Optimization Requires Exponentially Many Queries Fast and Compact Graph Cuts for the Boykov-Kolmogorov Algorithm A proximal gradient algorithm for composite log-concave sampling
Algorithmic Aspects of Regular Graph Covers with Applicat...
Jiří Fiala, Pavel Klavík, Jan Kratochvíl, Roman Nedela · 2014-02-16 · via cs.DS updates on arXiv.org

A graph $G$ covers a graph $H$ if there exists a locally bijective homomorphism from $G$ to $H$. We deal with regular covers in which this locally bijective homomorphism is prescribed by an action of a subgroup of ${\rm Aut}(G)$. Regular covers have many applications in constructions and studies of big objects all over mathematics and computer science. We study computational aspects of regular covers that have not been addressed before. The decision problem RegularCover asks for two given graphs $G$ and $H$ whether $G$ regularly covers $H$. When $|H|=1$, this problem becomes Cayley graph recognition for which the complexity is still unresolved. Another special case arises for $|G| = |H|$ when it becomes the graph isomorphism problem. Therefore, we restrict ourselves to graph classes with polynomially solvable graph isomorphism. Inspired by Negami, we apply the structural results used by Babai in the 1970's to study automorphism groups of graphs. Our main result is the following FPT meta-algorithm: Let $\cal C$ be a class of graphs such that the structure of automorphism groups of 3-connected graphs in $\cal C$ is simple. Then we can solve RegularCover for $\cal C$-inputs $G$ in time $O^*(2^{e(H)/2})$ where $e(H)$ denotes the number of the edges of $H$. As one example of $\cal C$, this meta-algorithm applies to planar graphs. In comparison, testing general graph covers is known to be NP-complete for planar inputs $G$ even for small fixed graphs $H$ such as $K_4$ or $K_5$. Most of our results also apply to general graphs, in particular the complete structural understanding of regular covers for 2-cuts.