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: "a stable marriage requires communication"
  Abstract: The Gale-Shapley algorithm for the Stable Marriage Problem is known to take $\Theta(n^2)$ steps to find a stable marriage in the worst case, but only $\Theta(n \log n)$ steps in the average case (with $n$ women and $n$ men). In 1976, Knuth asked whether the worst-case running time can be improved in a model of computation that does not require sequential access to the whole input. A partial negative answer was given by Ng and Hirschberg, who showed that $\Theta(n^2)$ queries are required in a model that allows certain natural random-access queries to the participants' preferences. A significantly more general - albeit slightly weaker - lower bound follows from Segal's general analysis of communication complexity, namely that $\Omega(n^2)$ Boolean queries are required in order to find a stable marriage, regardless of the set of allowed Boolean queries. #R##N#Using a reduction to the communication complexity of the disjointness problem, we give a far simpler, yet significantly more powerful argument showing that $\Omega(n^2)$ Boolean queries of any type are indeed required for finding a stable - or even an approximately stable - marriage. Notably, unlike Segal's lower bound, our lower bound generalizes also to (A) randomized algorithms, (B) allowing arbitrary separate preprocessing of the women's preferences profile and of the men's preferences profile, (C) several variants of the basic problem, such as whether a given pair is married in every/some stable marriage, and (D) determining whether a proposed marriage is stable or far from stable. In order to analyze "approximately stable" marriages, we introduce the notion of "distance to stability" and provide an efficient algorithm for its computation.

Connected through hyperedge HE-1 (induced by source paper "the complexity of interactively learning a stable matching by trial and error"):
  with members:
    - "a general framework for robust interactive learning"
    - "settling the complexity of computing approximate two player nash equilibria"
    - "deterministic and probabilistic binary search in graphs"
    - "inapproximability of nash equilibrium"
    - "the complexity of non monotone markets"
    - "settling the complexity of arrow debreu equilibria in markets with additively separable utilities"

Connected through hyperedge HE-2 (induced by source paper "euclidean tsp motorcycle graphs and other new applications of nearest neighbor chains"):
  with members:
    - "faster algorithms for some optimization problems on collinear points"
    - "dynamic planar voronoi diagrams for general distance functions and their algorithmic applications"
    - "the approximation ratio of the greedy algorithm for the metric traveling salesman problem"
    - "general auction mechanism for search advertising"
    - "simple distributed weighted matchings"

Connected through hyperedge HE-3 (induced by source paper "representing all stable matchings by walking a maximal chain"):
  with members:
    - "a simply exponential upper bound on the maximum number of stable matchings"
    - "stable matching mechanisms are not obviously strategy proof"
    - "manipulation of stable matchings using minimal blacklists"

Connected through hyperedge HE-4 (induced by source paper "multi user communication networks a coordinated multi armed bandit approach"):
  with members:
    - "delay and cooperation in nonstochastic bandits"
    - "multi player bandits a musical chairs approach"
    - "concurrent bandits and cognitive radio networks"
    - "wideband spectrum sensing for cognitive radio networks a survey"
    - "distributed algorithms for learning and cognitive medium access with logarithmic regret"
    - "almost stable matchings by truncating the gale shapley algorithm"

Connected through hyperedge HE-5 (induced by source paper "communication complexity of cake cutting"):
  with members:
    - "consensus halving is ppa complete"
    - "the query complexity of cake cutting"
    - "combinatorial auctions do need modest interaction"
    - "a discrete and bounded envy free cake cutting protocol for any number of agents"
    - "waste makes haste bounded time algorithms for envy free cake cutting with free disposal"
    - "hardness results for consensus halving"
    - "communication complexity for algorithm designers"
    - "welfare maximization with limited interaction"

Connected through hyperedge HE-6 (induced by source paper "lower bounds for approximating graph parameters via communication complexity"):
  with members:
    - "on approximating the number of k cliques in sublinear time"
    - "on sampling edges almost uniformly"
    - "sublinear time estimation of degree distribution moments the degeneracy connection"
    - "approximately counting triangles in sublinear time"

Connected through hyperedge HE-7 (induced by source paper "subquadratic algorithms for succinct stable matching"):
  with members:
    - "strong eth breaks with merlin and arthur short non interactive proofs of batch evaluation"
    - "probabilistic polynomials and hamming nearest neighbors"
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "faster all pairs shortest paths via circuit complexity"
    - "a satisfiability algorithm for sparse depth two threshold circuits"
    - "the complexity of approximately counting stable matchings"

Connected through hyperedge HE-8 (induced by source paper "multi user lax communications a multi armed bandit approach"):
  with members:
    - "concurrent bandits and cognitive radio networks"
    - "distributed algorithms for learning and cognitive medium access with logarithmic regret"
    - "almost stable matchings by truncating the gale shapley algorithm"

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)