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: "game theory and the frequency selective interference channel"
  Abstract: As discussed in this paper, the frequency selective interference channel is important, both from a practical as from an information theoretic point of view. We show that it has many intriguing aspects from a game theoretic point of view as well, and that various levels of interference admit different types of game theoretic techniques.

Connected through hyperedge HE-1 (induced by source paper "channel equilibrium networks for learning deep representation"):
  with members:
    - "grad cam visual explanations from deep networks via gradient based localization"
    - "switchable whitening for deep representation learning"
    - "gcnet non local networks meet squeeze excitation networks and beyond"
    - "mmdetection open mmlab detection toolbox and benchmark"
    - "iterative normalization beyond standardization towards efficient whitening"
    - "mobilenetv2 inverted residuals and linear bottlenecks"
    - "shufflenet v2 practical guidelines for efficient cnn architecture design"
    - "the lottery ticket hypothesis finding sparse trainable neural networks"

Connected through hyperedge HE-2 (induced by source paper "approximate best response dynamics in random interference games"):
  with members:
    - "asymptotically optimal distributed channel allocation a competitive game theoretic approach"
    - "distributed learning algorithms for spectrum sharing in spatial random access wireless networks"
    - "dynamics in near potential games"
    - "on the structure of weakly acyclic games"
    - "on the complexity of nash dynamics and sink equilibria"
    - "cooperative game theory and the gaussian interference channel"

Connected through hyperedge HE-3 (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"
    - "the mimo iterative waterfilling algorithm"
    - "competitive design of multiuser mimo systems based on game theory a unified view"

Connected through hyperedge HE-4 (induced by source paper "reinforcement learning and nonparametric detection of game theoretic equilibrium play in social networks"):
  with members:
    - "interactive sensing and decision making in social networks"
    - "diffusion strategies outperform consensus strategies for distributed estimation over adaptive networks"

Connected through hyperedge HE-5 (induced by source paper "signal processing and optimal resource allocation for the interference channel"):
  with members:
    - "joint power and admission control via linear programming deflation"
    - "on the degrees of freedom achievable through interference alignment in a mimo interference channel"
    - "linear transceiver design for a mimo interfering broadcast channel achieving max min fairness"
    - "averaged iterative water filling algorithm robustness and convergence"
    - "robust linear precoder design for multi cell downlink transmission"
    - "rate region frontiers for n user interference channel with interference as noise"
    - "balancing egoism and altruism on the interference channel the mimo case"
    - "capacity regions and sum rate capacities of vector gaussian interference channels"

Connected through hyperedge HE-6 (induced by source paper "interactive sensing and decision making in social networks"):
  with members:
    - "loopy belief propagation for approximate inference an empirical study"
    - "graphical models for game theory"
    - "removal of data incest in multi agent social learning in social networks"
    - "tracking the empirical distribution of a markov modulated duplication deletion random graph"
    - "diffusion adaptation over networks"
    - "twitter mood predicts the stock market"
    - "a game theoretic analysis of incentives in content production and sharing over peer to peer networks"
    - "distributed parameter estimation in sensor networks nonlinear observation models and imperfect communication"

Connected through hyperedge HE-7 (induced by source paper "decomposition by partial linearization parallel optimization of multi agent systems"):
  with members:
    - "signal processing and optimal resource allocation for the interference channel"
    - "real and complex monotone communication games"
    - "decomposition by successive convex approximation a unifying approach for linear transceiver design in heterogeneous networks"
    - "the mimo iterative waterfilling algorithm"
    - "optimal linear precoding strategies for wideband noncooperative systems based on game theory part i nash equilibria"
    - "competitive design of multiuser mimo systems based on game theory a unified view"

Connected through hyperedge HE-8 (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"
    - "cooperative game theory and the gaussian interference channel"
    - "bargaining over the 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)