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: "redistribution mechanisms for assignment of heterogeneous objects"
  Abstract: There are p heterogeneous objects to be assigned to n competing agents (n > p) each with unit demand. It is required to design a Groves mechanism for this assignment problem satisfying weak budget balance, individual rationality, and minimizing the budget imbalance. This calls for designing an appropriate rebate function. When the objects are identical, this problem has been solved which we refer as WCO mechanism. We measure the performance of such mechanisms by the redistribution index. We first prove an impossibility theorem which rules out linear rebate functions with non-zero redistribution index in heterogeneous object assignment. Motivated by this theorem, we explore two approaches to get around this impossibility. In the first approach, we show that linear rebate functions with non-zero redistribution index are possible when the valuations for the objects have a certain type of relationship and we design a mechanism with linear rebate function that is worst case optimal. In the second approach, we show that rebate functions with non-zero efficiency are possible if linearity is relaxed. We extend the rebate functions of the WCO mechanism to heterogeneous objects assignment and conjecture them to be worst case optimal.

Connected through hyperedge HE-1 (induced by source paper "redistribution mechanism on networks"):
  with members:
    - "selling multiple items via social networks"
    - "diffusion and auction on graphs"
    - "mechanism design in social networks"
    - "undominated groves mechanisms"

Connected through hyperedge HE-2 (induced by source paper "learning optimal redistribution mechanisms through neural networks"):
  with members:
    - "optimal auctions through deep learning"
    - "adam a method for stochastic optimization"
    - "generating sequences with recurrent neural networks"
    - "optimal mechansim design and money burning"

Connected through hyperedge HE-3 (induced by source paper "almost budget balanced mechanisms with scalar bids for allocation of a divisible good"):
  with members:
    - "generalized proportional allocation mechanism design for multi rate multicast service on the internet"
    - "auctions with severely bounded communication"

Connected through hyperedge HE-4 (induced by source paper "efficiency and budget balance in general quasi linear domains"):
  with members:
    - "complexity of mechanism design"
    - "randomized strategyproof mechanisms for facility location and the mini sum of squares objective"
    - "roberts theorem with neutrality a social welfare ordering approach"

Connected through hyperedge HE-5 (induced by source paper "undominated groves mechanisms"):
  with members:
    - "welfare undominated groves 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)