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: "sponsored search market equilibria and the hungarian method"
  Abstract: Matching markets play a prominent role in economic theory. A prime example of such a market is the sponsored search market. Here, as in other markets of that kind, market equilibria correspond to feasible, envy free, and bidder optimal outcomes. For settings without budgets such an outcome always exists and can be computed in polynomial-time by the so-called Hungarian Method. Moreover, every mechanism that computes such an outcome is incentive compatible. We show that the Hungarian Method can be modified so that it finds a feasible, envy free, and bidder optimal outcome for settings with budgets. We also show that in settings with budgets no mechanism that computes such an outcome can be incentive compatible for all inputs. For inputs in general position, however, the presented mechanism---as any other mechanism that computes such an outcome for settings with budgets---is incentive compatible.

Connected through hyperedge HE-1 (induced by source paper "the ad types problem"):
  with members:
    - "sponsored search auctions with rich ads"
    - "note on vcg vs price raising for matching markets"
    - "fast core pricing for rich advertising auctions"
    - "ad auctions and cascade model gsp inefficiency and algorithms"
    - "ironing in the dark"
    - "sponsored search auctions with markovian users"

Connected through hyperedge HE-2 (induced by source paper "polyhedral clinching auctions and the adwords polytope"):
  with members:
    - "clinching auctions beyond hard budget constraints"
    - "efficiency guarantees in auctions with budgets"
    - "optimal multi dimensional mechanism design reducing revenue to welfare maximization"
    - "clinching auctions with online supply"
    - "prior free auctions for budgeted agents"
    - "on multiple round sponsored search auctions with budgets"
    - "bayesian mechanism design for budget constrained agents"
    - "no justified complaints on fair sharing of multiple resources"

Connected through hyperedge HE-3 (induced by source paper "competitive equilibria in matching markets with budgets"):
  with members:
    - "sequential posted pricing and multi parameter mechanism design"
    - "settling the complexity of arrow debreu equilibria in markets with additively separable utilities"
    - "budget constrained auctions with heterogeneous items"
    - "general auction mechanism for search advertising"

Connected through hyperedge HE-4 (induced by source paper "reciprocating preferences stablize matching college admissions revisited"):
  with members:
    - "social networks and stable matchings in the job market"

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)