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: "solving the maximum agreement subtree and the maximum compatible tree problems on many bounded degree trees"
  Abstract: Given a set of leaf-labeled trees with identical leaf sets, the well-known "Maximum Agreement SubTree" problem (MAST) consists of finding a subtree homeomorphically included in all input trees and with the largest number of leaves. Its variant called "Maximum Compatible Tree" (MCT) is less stringent, as it allows the input trees to be refined. Both problems are of particular interest in computational biology, where trees encountered have often small degrees. #R##N#In this paper, we study the parameterized complexity of MAST and MCT with respect to the maximum degree, denoted by D, of the input trees. It is known that MAST is polynomial for bounded D. As a counterpart, we show that the problem is W[1]-hard with respect to parameter D. Moreover, relying on recent advances in parameterized complexity we obtain a tight lower bound: while MAST can be solved in O(N^{O(D)}) time where N denotes the input length, we show that an O(N^{o(D)}) bound is not achievable, unless SNP is contained in SE. We also show that MCT is W[1]-hard with respect to D, and that MCT cannot be solved in O(N^{o(2^{D/2})}) time, SNP is contained in SE.

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"
    - "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"

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 trees"
    - "hybridization number on three rooted binary trees is ept"

Connected through hyperedge HE-3 (induced by source paper "aggregation of composite solutions strategies models examples"):
  with members:
    - "searching a bitstream in linear time for the longest substring of any given density"
    - "restructuring in combinatorial optimization"
    - "towards configuration of applied web based information system"
    - "the multiobjective multidimensional knapsack problem a survey and a new approach"
    - "the exact closest string problem as a constraint satisfaction problem"
    - "on the closest string and substring problems"

Connected through hyperedge HE-4 (induced by source paper "on the approximability of the maximum agreement subtree and maximum compatible tree problems"):
  with members:
    - "an even faster and more unifying algorithm for comparing trees via unbalanced bipartite matchings"

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)