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: "fair allocation of combinations of indivisible goods and chores"
  Abstract: We consider the problem of fairly dividing a set of items. Much of the fair division literature assumes that the items are `goods' i.e., they yield positive utility for the agents. There is also some work where the items are `chores' that yield negative utility for the agents. In this paper, we consider a more general scenario where an agent may have negative or positive utility for each item. This framework captures, e.g., fair task assignment, where agents can have both positive and negative utilities for each task. We show that whereas some of the positive axiomatic and computational results extend to this more general setting, others do not. We present several new and efficient algorithms for finding fair allocations in this general setting. We also point out several gaps in the literature regarding the existence of allocations satisfying certain fairness and efficiency properties and further study the complexity of computing such 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"
    - "almost envy freeness and welfare efficiency in fair division with goods or bads"

Connected through hyperedge HE-2 (induced by source paper "algorithms for competitive division of chores"):
  with members:
    - "fair division with minimal sharing"
    - "strategyproof and approximately maxmin fair share allocation of chores"
    - "universal growth in production economies"
    - "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-3 (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"
    - "strategyproof and approximately maxmin fair share allocation of chores"
    - "approximation algorithms for computing maximin share allocations"
    - "almost envy freeness with general valuations"
    - "finding fair and efficient allocations"

Connected through hyperedge HE-4 (induced by source paper "greedy algorithms for fair division of mixed manna"):
  with members:
    - "almost envy freeness and welfare efficiency in fair division with goods or bads"
    - "comparing approximate relaxations of envy freeness"
    - "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"

Connected through hyperedge HE-5 (induced by source paper "almost group envy free allocation of indivisible goods and chores"):
  with members:
    - "almost envy freeness in group resource allocation"
    - "fair allocation of indivisible public goods"
    - "greedy algorithms for maximizing nash social welfare"
    - "competitive division of a mixed manna"
    - "almost envy freeness with general valuations"
    - "democratic fair allocation of indivisible goods"
    - "fair assignment of indivisible objects under ordinal preferences"

Connected through hyperedge HE-6 (induced by source paper "a polynomial time algorithm for computing a pareto optimal and almost proportional allocation"):
  with members:
    - "fair division with minimal sharing"
    - "algorithms for competitive division of chores"
    - "weighted maxmin fair share allocation of indivisible chores"
    - "on the proximity of markets with integral equilibria"
    - "fair allocation of indivisible goods to asymmetric agents"
    - "competitive equilibria with indivisible goods and generic budgets"

Connected through hyperedge HE-7 (induced by source paper "weighted maxmin fair share allocation of indivisible chores"):
  with members:
    - "the complexity of cake cutting with unequal shares"
    - "fair allocation of indivisible goods to asymmetric agents"
    - "competitive equilibria with indivisible goods and generic budgets"
    - "approximation algorithms for computing maximin share allocations"
    - "a discrete and bounded envy free cake cutting protocol for any number of agents"

Connected through hyperedge HE-8 (induced by source paper "strategyproof and approximately maxmin fair share allocation of chores"):
  with members:
    - "weighted maxmin fair share allocation of indivisible chores"
    - "approximation algorithms for computing maximin share allocations"
    - "on truthful mechanisms for maximin share allocations"
    - "egalitarianism of random assignment mechanisms"

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)