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 trees"
  Abstract: Phylogenetic networks are leaf-labelled directed acyclic graphs that are used to describe nontreelike 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 phylogenetic trees on n leaves, which runs in time O(c k poly(n)), with k the hybridization number of an optimal network and c some positive constant. For the case of 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)) for more than two trees had prior to this article remained elusive. 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, the reconstruction of 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,

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 rooted binary trees is ept"
    - "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 synopsis of comparative metrics for classifications"):
  with members:
    - "calculating the unrooted subtree prune and regraft distance"
    - "hybridization number on three rooted binary trees is ept"
    - "solving the maximum agreement subtree and the maximum compatible tree problems on many bounded degree trees"

Connected through hyperedge HE-3 (induced by source paper "kernelizations for the hybridization number problem on multiple nonbinary trees"):
  with members:
    - "constructing minimal phylogenetic networks from softwired clusters is fixed parameter tractable"

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)