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: "bargaining over the interference channel"
  Abstract: In this paper we analyze the interference channel as a conflict situation. This viewpoint implies that certain points in the rate region are unreasonable to one of the players. Therefore these points cannot be considered achievable based on game theoretic considerations. We then propose to use Nash bargaining solution as a tool that provides preferred points on the boundary of the game theoretic rate region. We provide analysis for the 2x2 intereference channel using the FDM achievable rate region. We also outline how to generalize our results to other achievable rate regions for the interference channel as well as the multiple access channel. #R##N#Keywords: Spectrum optimization, distributed coordination, game theory, interference channel, multiple access channel.

Connected through hyperedge HE-1 (induced by source paper "deep multi user reinforcement learning for distributed dynamic spectrum access"):
  with members:
    - "deep reinforcement learning for dynamic multichannel access in wireless networks"
    - "approximate best response dynamics in random interference games"
    - "deep learning in mobile and wireless networking a survey"
    - "deep reinforcement one shot learning for artificially intelligent classification systems"
    - "deep reinforcement learning an overview"
    - "active anomaly detection in heterogeneous processes"
    - "proactive resource management in lte u systems a deep learning perspective"
    - "learning to communicate with deep multi agent reinforcement learning"

Connected through hyperedge HE-2 (induced by source paper "game theoretic dynamic channel allocation for frequency selective interference channels"):
  with members:
    - "approximate best response dynamics in random interference games"
    - "asymptotically optimal distributed channel allocation a competitive game theoretic approach"
    - "fully distributed optimal channel assignment for open spectrum access"
    - "on the nash equilibria in decentralized parallel interference channels"
    - "learning equilibria with partial information in decentralized wireless networks"
    - "shannon meets nash on the interference channel"
    - "game theory and the frequency selective interference channel"
    - "the mimo iterative waterfilling algorithm"

Connected through hyperedge HE-3 (induced by source paper "distributed learning algorithms for spectrum sharing in spatial random access wireless networks"):
  with members:
    - "fast responsive decentralised graph colouring"
    - "learning based constraint satisfaction with sensing restrictions"
    - "distributed game theoretic optimization and management of multichannel aloha networks"
    - "distributed spectrum access with spatial reuse"
    - "cooperative game theory and the gaussian interference channel"

Connected through hyperedge HE-4 (induced by source paper "on the allocation of multiple divisible assets to players with different utilities"):
  with members:
    - "weighted max min resource allocation for frequency selective channels"
    - "game theory and the frequency selective interference channel"
    - "cooperative game theory and the gaussian interference channel"

Connected through hyperedge HE-5 (induced by source paper "on the allocation of multiple divisible and non transferable commodities"):
  with members:
    - "game theory and the frequency selective interference channel"
    - "cooperative game theory and the gaussian interference channel"

Connected through hyperedge HE-6 (induced by source paper "distributed game theoretic optimization and management of multichannel aloha networks"):
  with members:
    - "game theory and the frequency selective interference channel"
    - "cooperative game theory and the gaussian interference channel"

Connected through hyperedge HE-7 (induced by source paper "improper signaling on the two user siso interference channel"):
  with members:
    - "coordination and bargaining over the gaussian interference channel"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"
    - "capacity bounds for the gaussian interference channel"
    - "the two user gaussian interference channel a deterministic view"
    - "generalized degrees of freedom of the symmetric gaussian k user interference channel"
    - "interference alignment on the deterministic channel and application to fully connected awgn interference networks"
    - "gaussian interference channel capacity to within one bit"

Connected through hyperedge HE-8 (induced by source paper "a game theoretic view of the interference channel impact of coordination and bargaining"):
  with members:
    - "alternating offer bargaining games over the gaussian interference channel"
    - "capacity regions and sum rate capacities of vector gaussian interference channels"
    - "coordination and bargaining over the gaussian interference channel"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"
    - "capacity bounds for the gaussian interference channel"
    - "coalitions in cooperative wireless networks"
    - "gaussian interference channel capacity to within one bit"
    - "cooperative game theory and the gaussian interference channel"

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.IT(Information Theory)