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: "almost envy freeness and welfare efficiency in fair division with goods or bads"
  Abstract: We consider two models of fair division with indivisible items: one for goods and one for bads. For goods, we study two generalized envy freeness proxies (EF1 and EFX for goods) and three common welfare (utilitarian, egalitarian and Nash) efficiency notions. For bads, we study two generalized envy freeness proxies (1EF and XEF for goods) and two less common diswelfare (egalitarian and Nash) efficiency notions. Some existing algorithms for goods do not work for bads. We thus propose several new algorithms for the model with bads. Our new algorithms exhibit many nice properties. For example, with additive identical valuations, an allocation that maximizes the egalitarian diswelfare or Nash diswelfare is XEF and PE. Finally, we also give simple and tractable cases when these envy freeness proxies and welfare efficiency are attainable in combination (e.g. binary valuations, house allocations).

Connected through hyperedge HE-1 (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"
    - "strategyproof and approximately maxmin fair share allocation of chores"
    - "fair allocation of combinations of indivisible goods and chores"

Connected through hyperedge HE-2 (induced by source paper "greedy algorithms for fair division of mixed manna"):
  with members:
    - "comparing approximate relaxations of envy freeness"
    - "fair allocation of combinations of indivisible goods and chores"
    - "greedy algorithms for maximizing nash social welfare"
    - "competitive division of a mixed manna"
    - "almost envy freeness with general valuations"
    - "finding fair and efficient allocations"
    - "dividing goods or bads under additive utilities"
    - "online fair division analysing a food bank problem"

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)