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 one dimensional euclidean domain finitely many obstructions are not enough"
  Abstract: We show that one-dimensional Euclidean preference profiles can not be characterized in terms of finitely many forbidden substructures. This result is in strong contrast to the case of single-peaked and single-crossing preference profiles, for which such finite characterizations have been derived in the literature.

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"
    - "recognising multidimensional euclidean preferences"
    - "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"
    - "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 "stable marriage with multi modal preferences"):
  with members:
    - "stable roommates with narcissistic single peaked and single crossing preferences"
    - "a polynomial time randomized reduction from tournament isomorphism to tournament asymmetry"
    - "stable matching with uncertain linear preferences"
    - "assessing the computational complexity of multi layer subgraph detection"
    - "are there any nicely structured preference profiles nearby"
    - "parameterized algorithmics for computational social choice nine research challenges"
    - "stable marriage with general preferences"
    - "clone structures in voters preferences"

Connected through hyperedge HE-3 (induced by source paper "on the likelihood of single peaked preferences"):
  with members:
    - "computational aspects of nearly single peaked electorates"
    - "are there any nicely structured preference profiles nearby"
    - "on the computation of fully proportional representation"
    - "the complexity of manipulative attacks in nearly single peaked electorates"
    - "clone structures in voters preferences"
    - "an empirical study of the manipulability of single transferable voting"
    - "where are the hard manipulation problems"
    - "the shield that never was societies with single peaked preferences are more open to manipulation and control"

Connected through hyperedge HE-4 (induced by source paper "recognising multidimensional euclidean preferences"):
  with members:
    - "on the likelihood of single peaked preferences"
    - "on the computation of fully proportional representation"
    - "clone structures in voters preferences"
    - "the shield that never was societies with single peaked preferences are more open to manipulation and control"

Connected through hyperedge HE-5 (induced by source paper "are there any nicely structured preference profiles nearby"):
  with members:
    - "computational aspects of nearly single peaked electorates"
    - "generalizing the single crossing property on lines and trees to intermediate preferences on median graphs"
    - "parameterized algorithmics for computational social choice nine research challenges"
    - "combinatorial voter control in elections"
    - "the control complexity of r approval from the single peaked case to the general case"
    - "on the computation of fully proportional representation"
    - "the complexity of fully proportional representation for single crossing electorates"
    - "the complexity of manipulative attacks in nearly single peaked electorates"

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)