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 knapsack"
  Abstract: We study the following multiagent variant of the knapsack problem. We are given a set of items, a set of voters, and a value of the budget; each item is endowed with a cost and each voter assigns to each item a certain value. The goal is to select a subset of items with the total cost not exceeding the budget, in a way that is consistent with the voters' preferences. Since the preferences of the voters over the items can vary significantly, we need a way of aggregating these preferences, in order to select the socially best valid knapsack. We study three approaches to aggregating voters' preferences, which are motivated by the literature on multiwinner elections and fair allocation. This way we introduce the concepts of individually best, diverse, and fair knapsack. We study the computational complexity (including parameterized complexity, and complexity under restricted domains) of the aforementioned multiagent variants of knapsack.

Connected through hyperedge HE-1 (induced by source paper "developments in multi agent fair allocation"):
  with members:
    - "from matching with diversity constraints to matching with regional quotas"
    - "fair division with minimal sharing"
    - "fairly allocating many goods with few queries"
    - "competitive division of a mixed manna"
    - "approximation algorithms for computing maximin share allocations"
    - "proportionally representative participatory budgeting axioms and algorithms"
    - "fair mixing the case of dichotomous preferences"
    - "democratic fair allocation of indivisible goods"

Connected through hyperedge HE-2 (induced by source paper "polynomial time data reduction for weighted problems beyond additive goal functions"):
  with members:
    - "parameterized algorithms and data reduction for the short secluded s t path problem"
    - "fixed parameter algorithms for maximum profit facility location under matroid constraints"
    - "on approximate data reduction for the rural postman problem theory and experiments"
    - "parameterized power vertex cover"
    - "a parameterized approximation algorithm for the mixed and windy capacitated arc routing problem theory and experiments"
    - "parameterized algorithms for power efficient connected symmetric wireless sensor networks"
    - "new algorithms for minimizing the weighted number of tardy jobs on a single machine"
    - "interval scheduling and colorful independent sets"

Connected through hyperedge HE-3 (induced by source paper "approximately stable committee selection"):
  with members:
    - "proportionally fair clustering"
    - "group fairness in committee selection"
    - "fair allocation of indivisible public goods"
    - "proportionally representative participatory budgeting axioms and algorithms"
    - "the expanding approvals rule improving proportional representation and monotonicity"
    - "the core of the participatory budgeting problem"
    - "properties of multiwinner voting rules"
    - "an improved approximation for k median and positive correlation in budgeted optimization"

Connected through hyperedge HE-4 (induced by source paper "fair allocation of indivisible public goods"):
  with members:
    - "almost envy freeness with general valuations"
    - "a discrete and bounded envy free cake cutting protocol for any number of agents"
    - "the core of the participatory budgeting problem"
    - "proportional justified representation"
    - "a discrete and bounded envy free cake cutting protocol for four agents"
    - "justified representation in approval based committee voting"

Connected through hyperedge HE-5 (induced by source paper "mixed integer programming with convex concave constraints fixed parameter tractability and applications to multicovering and voting"):
  with members:
    - "a parameterized strongly polynomial algorithm for block structured integer programs"
    - "faster algorithms for integer programs with block structure"
    - "scheduling meets n fold integer programming"
    - "evaluating and tuning n fold integer programming"
    - "combinatorial n fold integer programming and applications"
    - "integer programming in parameterized complexity three miniatures"
    - "solving integer linear programs with a small number of global variables and constraints"
    - "voting and bribing in single exponential time"

Connected through hyperedge HE-6 (induced by source paper "the expanding approvals rule improving proportional representation and monotonicity"):
  with members:
    - "a framework for approval based budgeting methods"
    - "the condorcet principle for multiwinner elections from shortlisting to proportionality"
    - "proportionally representative participatory budgeting axioms and algorithms"
    - "monotonicity axioms in approval based multi winner voting rules"
    - "committees providing ejr can be computed efficiently"
    - "the maximin support method an extension of the d hondt method to approval based multiwinner elections"
    - "computational complexity of testing proportional justified representation"
    - "proportional justified representation"

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)