human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "hardness results and approximation algorithms for the minimum dominating tree problem"
  Abstract: Given an undirected graph $G = (V, E)$ and a weight function $w:E \to \mathbb{R}$, the \textsc{Minimum Dominating Tree} problem asks to find a minimum weight sub-tree of $G$, $T = (U, F)$, such that every $v \in V \setminus U$ is adjacent to at least one vertex in $U$. The special case when the weight function is uniform is known as the \textsc{Minimum Connected Dominating Set} problem. #R##N#Given an undirected graph $G = (V, E)$ with some subsets of vertices called groups, and a weight function $w:E \to \mathbb{R}$, the \textsc{Group Steiner Tree} problem is to find a minimum weight sub-tree of $G$ which contains at least one vertex from each group. #R##N#In this paper we show that the two problems are equivalents from approximability perspective. This improves upon both the best known approximation algorithm and the best inapproximability result for the \textsc{Minimum Dominating Tree} problem. We also consider two extrema variants of the \textsc{Minimum Dominating Tree} problem, namely, the \textsc{Minimum Dominating Star} and the \textsc{Minimum Dominating Path} problems which ask to find a minimum dominating star and path respectively.

Connected through hyperedge HE-1 (induced by source paper "on the computational complexity of length and neighborhood constrained path problems"):
  with members:
    - "the parameterized complexity of finding secluded solutions to some classical optimization problems on graphs"
    - "finding connected secluded subgraphs"
    - "parameterized complexity of secluded connectivity problems"
    - "kernelization lower bounds by cross composition"
    - "secluded connectivity problems"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CC(Computational Complexity)