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: "strategyproof and approximately maxmin fair share allocation of chores"
  Abstract: We initiate the work on fair and strategyproof allocation of indivisible chores. The fairness concept we consider in this paper is maxmin share (MMS) fairness. We consider three previously studied models of information elicited from the agents: the ordinal model, the cardinal model, and the public ranking model in which the ordinal preferences are publicly known. We present both positive and negative results on the level of MMS approximation that can be guaranteed if we require the algorithm to be strategyproof. Our results uncover some interesting contrasts between the approximation ratios achieved for chores versus goods.

Connected through hyperedge HE-1 (induced by source paper "maximin fairness with mixed divisible and indivisible goods"):
  with members:
    - "computing envy freeable allocations with limited subsidies"
    - "one dollar each eliminates envy"
    - "fair division of mixed divisible and indivisible goods"
    - "weighted maxmin fair share allocation of indivisible chores"
    - "maximin share allocations on cycles"
    - "an improved approximation algorithm for maximin shares"
    - "an algorithmic framework for approximating maximin share allocation of chores"
    - "comparing approximate relaxations of envy freeness"

Connected through hyperedge HE-2 (induced by source paper "equitable allocations of indivisible chores"):
  with members:
    - "fairly allocating contiguous blocks of indivisible items"
    - "fair division with minimal sharing"
    - "algorithms for competitive division of chores"
    - "a polynomial time algorithm for computing a pareto optimal and almost proportional allocation"
    - "weighted maxmin fair share allocation of indivisible chores"
    - "an algorithmic framework for approximating maximin share allocation of chores"
    - "almost envy freeness and welfare efficiency in fair division with goods or bads"
    - "fair allocation of combinations of indivisible goods and chores"

Connected through hyperedge HE-3 (induced by source paper "algorithms for competitive division of chores"):
  with members:
    - "fair division with minimal sharing"
    - "universal growth in production economies"
    - "fair allocation of combinations of indivisible goods and chores"
    - "on the proximity of markets with integral equilibria"
    - "competitive division of a mixed manna"
    - "approximation algorithms for computing maximin share allocations"
    - "almost envy freeness with general valuations"
    - "convex program duality fisher markets and nash social welfare"

Connected through hyperedge HE-4 (induced by source paper "an algorithmic framework for approximating maximin share allocation of chores"):
  with members:
    - "envy freeness up to any item with high nash welfare the virtue of donating items"
    - "a little charity guarantees almost envy freeness"
    - "weighted maxmin fair share allocation of indivisible chores"
    - "an improved approximation algorithm for maximin shares"
    - "fair allocation of combinations of indivisible goods and chores"
    - "approximation algorithms for computing maximin share allocations"
    - "almost envy freeness with general valuations"
    - "finding fair and efficient allocations"

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)