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: "the recognition of tolerance and bounded tolerance graphs"
  Abstract: Tolerance graphs model interval relations in such a way that intervals can tolerate a certain degree of overlap without being in conflict. This subclass of perfect graphs has been extensively studied, due to both its interesting structure and its numerous applications. Several efficient algorithms for optimization problems that are NP-hard on general graphs have been designed for tolerance graphs. In spite of this, the recognition of tolerance graphs - namely, the problem of deciding whether a given graph is a tolerance graph - as well as the recognition of their main subclass of bounded tolerance graphs, have been the most fundamental open problems on this class of graphs (cf. the book on tolerance graphs \cite{GolTol04}) since their introduction in 1982 \cite{GoMo82}. In this article we prove that both recognition problems are NP-complete, even in the case where the input graph is a trapezoid graph. The presented results are surprising because, on the one hand, most subclasses of perfect graphs admit polynomial recognition algorithms and, on the other hand, bounded tolerance graphs were believed to be efficiently recognizable as they are a natural special case of trapezoid graphs (which can be recognized in polynomial time) and share a very similar structure with them. For our reduction we extend the notion of an \emph{acyclic orientation} of permutation and trapezoid graphs. Our main tool is a new algorithm that uses \emph{vertex splitting} to transform a given trapezoid graph into a permutation graph, while preserving this new acyclic orientation property. This method of vertex splitting is of independent interest; very recently, it has been proved a powerful tool also in the design of efficient recognition algorithms for other classes of graphs \cite{MC-Trapezoid}.

Connected through hyperedge HE-1 (induced by source paper "a linear time algorithm for maximum cardinality matching on cocomparability graphs"):
  with members:
    - "parameterized aspects of triangle enumeration"
    - "when can graph hyperbolicity be computed in linear time"
    - "recognizing simple triangle graphs by restricted 2 chain subgraph cover"
    - "a recognition algorithm for simple triangle graphs"
    - "fully polynomial time parameterized computations for graphs and matrices of low treewidth"
    - "graph isomorphism completeness for trapezoid graphs"
    - "polynomial fixed parameter algorithms a case study for longest path on interval graphs"
    - "new geometric representations and domination problems on tolerance and multitolerance graphs"

Connected through hyperedge HE-2 (induced by source paper "recognizing simple triangle graphs by restricted 2 chain subgraph cover"):
  with members:
    - "a vertex ordering characterization of simple triangle graphs"
    - "graph isomorphism completeness for trapezoid graphs"
    - "the recognition of simple triangle graphs and of linear interval orders is polynomial"
    - "extending partial representations of function graphs and permutation graphs"

Connected through hyperedge HE-3 (induced by source paper "a recognition algorithm for simple triangle graphs"):
  with members:
    - "recognizing simple triangle graphs by restricted 2 chain subgraph cover"
    - "a vertex ordering characterization of simple triangle graphs"
    - "graph isomorphism completeness for trapezoid graphs"
    - "the recognition of simple triangle graphs and of linear interval orders is polynomial"

Connected through hyperedge HE-4 (induced by source paper "a simpler recognition algorithm for simple triangle graphs"):
  with members:
    - "graph isomorphism completeness for trapezoid graphs"
    - "the recognition of simple triangle graphs and of linear interval orders is polynomial"

Connected through hyperedge HE-5 (induced by source paper "graph isomorphism completeness for trapezoid graphs"):
  with members:
    - "the recognition of simple triangle graphs and of linear interval orders is polynomial"
    - "isomorphism of graph classes related to the circular ones property"

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)