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: "hybridization number on three rooted binary trees is ept"
  Abstract: Phylogenetic networks are leaf-labelled directed acyclic graphs that are used to describe non-treelike evolutionary histories and are thus a generalization of phylogenetic trees. The hybridization number of a phylogenetic network is the sum of all indegrees minus the number of nodes plus one. The Hybridization Number problem takes as input a collection of phylogenetic trees and asks to construct a phylogenetic network that contains an embedding of each of the input trees and has a smallest possible hybridization number. We present an algorithm for the Hybridization Number problem on three binary trees on $n$ leaves, which runs in time $O(c^k poly(n))$, with $k$ the hybridization number of an optimal network and $c$ a constant. For two trees, an algorithm with running time $O(3.18^k n)$ was proposed before whereas an algorithm with running time $O(c^k poly(n))$ had prior to this article remained elusive for more than two trees. The algorithm for two trees uses the close connection to acyclic agreement forests to achieve a linear exponent in the running time, while previous algorithms for more than two trees (explicitly or implicitly) relied on a brute force search through all possible underlying network topologies, leading to running times that are not $O(c^k poly(n))$ for any $c$. The connection to acyclic agreement forests is much weaker for more than two trees, so even given the right agreement forest, reconstructing the network poses major challenges. We prove novel structural results that allow us to reconstruct a network without having to guess the underlying topology. Our techniques generalize to more than three input trees with the exception of one key lemma that maps nodes in the network to tree nodes and, thus, minimizes the amount of guessing involved in constructing the network. The main open problem therefore is to establish a similar mapping for more than three trees.

Connected through hyperedge HE-1 (induced by source paper "an analysis of the geodesic distance and other comparative metrics for tree like structures"):
  with members:
    - "calculating the unrooted subtree prune and regraft distance"
    - "hybridization number on three trees"
    - "an almost linear time algorithm for approximate max flow in undirected graphs and its multicommodity generalizations"
    - "nearly maximum flows in nearly linear time"
    - "solving the maximum agreement subtree and the maximum compatible tree problems on many bounded degree trees"

Connected through hyperedge HE-2 (induced by source paper "a practical fixed parameter algorithm for constructing tree child networks from multiple binary trees"):
  with members:
    - "kernelizations for the hybridization number problem on multiple nonbinary trees"

Connected through hyperedge HE-3 (induced by source paper "combining networks using cherry picking sequences"):
  with members:
    - "reconstructing phylogenetic level 1 networks from nondense binet and trinet sets"

Connected through hyperedge HE-4 (induced by source paper "a tight kernel for computing the tree bisection and reconnection distance between two phylogenetic trees"):
  with members:
    - "on unrooted and root uncertain variants of several well known phylogenetic network problems"
    - "calculating the unrooted subtree prune and regraft distance"
    - "kernelizations for the hybridization number problem on multiple nonbinary trees"
    - "kernelization lower bounds by cross composition"
    - "constructing minimal phylogenetic networks from softwired clusters is fixed parameter tractable"

Connected through hyperedge HE-5 (induced by source paper "a synopsis of comparative metrics for classifications"):
  with members:
    - "calculating the unrooted subtree prune and regraft distance"
    - "hybridization number on three trees"
    - "solving the maximum agreement subtree and the maximum compatible tree problems on many bounded degree trees"

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.DS(Data Structures and Algorithms)