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: "recognising multidimensional euclidean preferences"
  Abstract: Euclidean preferences are a widely studied preference model, in which decision makers and alternatives are embedded in d-dimensional Euclidean space. Decision makers prefer those alternatives closer to them. This model, also known as multidimensional unfolding, has applications in economics, psychometrics, marketing, and many other fields. We study the problem of deciding whether a given preference profile is d-Euclidean. For the one-dimensional case, polynomial-time algorithms are known. We show that, in contrast, for every other fixed dimension d > 1, the recognition problem is equivalent to the existential theory of the reals (ETR), and so in particular NP-hard. We further show that some Euclidean preference profiles require exponentially many bits in order to specify any Euclidean embedding, and prove that the domain of d-Euclidean preferences does not admit a finite forbidden minor characterisation for any d > 1. We also study dichotomous preferencesand the behaviour of other metrics, and survey a variety of related work.

Connected through hyperedge HE-1 (induced by source paper "incomplete preferences in single peaked electorates"):
  with members:
    - "on the likelihood of single peaked preferences"
    - "computational aspects of nearly single peaked electorates"
    - "modeling single peakedness for votes with ties"
    - "single peaked consistency for weak orders is easy"
    - "reinstating combinatorial protections for manipulation and bribery in single peaked and nearly single peaked electorates"
    - "the one dimensional euclidean domain finitely many obstructions are not enough"
    - "complexity of manipulative actions when voting with ties"
    - "are there any nicely structured preference profiles nearby"

Connected through hyperedge HE-2 (induced by source paper "optimal curve straightening is exists mathbb r complete"):
  with members:
    - "a universality theorem for nested polytopes"
    - "min cost flow in unit capacity planar graphs"
    - "the art gallery problem is exists mathbb r complete"
    - "the complexity of drawing graphs on few lines and few planes"
    - "intersection graphs of rays and grounded segments"
    - "the complexity of tensor rank"
    - "recognition and complexity of point visibility graphs"
    - "the complexity of simultaneous geometric graph embedding"

Connected through hyperedge HE-3 (induced by source paper "testing preferential domains using sampling"):
  with members:
    - "computational aspects of nearly single peaked electorates"
    - "preference elicitation for single crossing domain"
    - "single peaked consistency for weak orders is easy"
    - "clone structures in voters preferences"

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.GT(Computer Science and Game Theory)