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: "optimal solutions for multi unit combinatorial auctions branch and bound heuristics"
  Abstract: Finding optimal solutions for multi-unit combinatorial auctions is a hard problem and finding approximations to the optimal solution is also hard. We investigate the use of Branch-and-Bound techniques: they require both a way to bound from above the value of the best allocation and a good criterion to decide which bids are to be tried first. Different methods for efficiently bounding from above the value of the best allocation are considered. Theoretical original results characterize the best approximation ratio and the ordering criterion that provides it. We suggest to use this criterion.

Connected through hyperedge HE-1 (induced by source paper "efficient multi resource multi unit vcg auction"):
  with members:
    - "non monetary fair scheduling a cooperative game theory approach"
    - "optimal multi dimensional mechanism design reducing revenue to welfare maximization"
    - "fair allocation without trade"
    - "no justified complaints on fair sharing of multiple resources"
    - "computationally feasible vcg mechanisms"

Connected through hyperedge HE-2 (induced by source paper "learning to search via retrospective imitation"):
  with members:
    - "continuous control with deep reinforcement learning"
    - "learning to search better than your teacher"
    - "probabilistic planning for continuous dynamic systems under bounded risk"
    - "a reduction of imitation learning and structured prediction to no regret online learning"
    - "search based structured prediction"

Connected through hyperedge HE-3 (induced by source paper "data collection and wireless communication in internet of things iot using economic analysis and pricing models a survey"):
  with members:
    - "economics of internet of things iot an information market approach"
    - "target tracking via crowdsourcing a mechanism design approach"
    - "non stationary resource allocation policies for delay constrained video streaming application to video over internet of things enabled networks"
    - "from participatory sensing to mobile crowd sensing"
    - "machine learning in wireless sensor networks algorithms strategies and applications"
    - "motivating smartphone collaboration in data acquisition and distributed computing"
    - "fairness and social welfare in incentivizing participatory sensing"
    - "optimal pricing and load sharing for energy saving in communications cooperation"

Connected through hyperedge HE-4 (induced by source paper "price of anarchy for greedy auctions"):
  with members:
    - "an impossibility result for truthful combinatorial auctions with submodular valuations"
    - "mechanisms for multi unit auctions"
    - "beyond equilibria mechanisms for repeated combinatorial auctions"
    - "truthful mechanisms via greedy iterative packing"
    - "combinatorial auctions with decreasing marginal utilities"

Connected through hyperedge HE-5 (induced by source paper "combinatorial auctions with decreasing marginal utilities"):
  with members:
    - "truth revelation in approximately efficient combinatorial auctions"

Connected through hyperedge HE-6 (induced by source paper "truth revelation in approximately efficient combinatorial auctions"):
  with members:
    - "computationally feasible vcg mechanisms"
    - "combinatorial auctions with decreasing marginal utilities"

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)