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: "distributed convergence verification for gaussian belief propagation"
  Abstract: Gaussian belief propagation (BP) is a computationally efficient method to approximate the marginal distribution and has been widely used for inference with high dimensional data as well as distributed estimation in large-scale networks. However, the convergence of Gaussian BP is still an open issue. Though sufficient convergence conditions have been studied in the literature, verifying these conditions requires gathering all the information over the whole network, which defeats the main advantage of distributed computing by using Gaussian BP. In this paper, we propose a novel sufficient convergence condition for Gaussian BP that applies to both the pairwise linear Gaussian model and to Gaussian Markov random fields. We show analytically that this sufficient convergence condition can be easily verified in a distributed way that satisfies the network topology constraint.

Connected through hyperedge HE-1 (induced by source paper "distributed multi user wireless charging power allocation"):
  with members:
    - "rf based energy harvesting in decode and forward relaying systems ergodic and outage capacities"
    - "convergence analysis of the information matrix in gaussian belief propagation"
    - "convergence analysis of belief propagation for pairwise linear gaussian models"
    - "distributed hybrid power state estimation under pmu sampling phase errors"
    - "throughput analysis and optimization of wireless powered multiple antenna full duplex relay systems"
    - "distributed clock skew and offset estimation in wireless sensor networks asynchronous algorithm and convergence analysis"
    - "power and load coupling in cellular networks for energy optimization"
    - "distributed power splitting for swipt in relay interference channels using game theory"

Connected through hyperedge HE-2 (induced by source paper "greening geographical power allocation for cellular networks"):
  with members:
    - "convergence analysis of the information matrix in gaussian belief propagation"
    - "convergence analysis of belief propagation for pairwise linear gaussian models"
    - "smart charging for electric vehicles a survey from the algorithmic perspective"
    - "distributed hybrid power state estimation under pmu sampling phase errors"
    - "distributed clock skew and offset estimation in wireless sensor networks asynchronous algorithm and convergence analysis"
    - "green cellular networks a survey some research issues and challenges"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"
    - "optimal packet scheduling in an energy harvesting communication system"

Connected through hyperedge HE-3 (induced by source paper "when renewable energy meets building thermal mass a real time load management scheme"):
  with members:
    - "energy spatio temporal pattern prediction for electric vehicle networks"
    - "convergence analysis of the information matrix in gaussian belief propagation"
    - "smart charging for electric vehicles a survey from the algorithmic perspective"
    - "distributed hybrid power state estimation under pmu sampling phase errors"
    - "distributed clock skew and offset estimation in wireless sensor networks asynchronous algorithm and convergence analysis"

Connected through hyperedge HE-4 (induced by source paper "energy spatio temporal pattern prediction for electric vehicle networks"):
  with members:
    - "convergence analysis of the information matrix in gaussian belief propagation"
    - "convergence analysis of belief propagation for pairwise linear gaussian models"
    - "smart charging for electric vehicles a survey from the algorithmic perspective"
    - "distributed hybrid power state estimation under pmu sampling phase errors"
    - "distributed clock skew and offset estimation in wireless sensor networks asynchronous algorithm and convergence analysis"

Connected through hyperedge HE-5 (induced by source paper "convergence analysis of belief propagation for pairwise linear gaussian models"):
  with members:
    - "convergence analysis of the information matrix in gaussian belief propagation"
    - "distributed clock skew and offset estimation in wireless sensor networks asynchronous algorithm and convergence analysis"
    - "gaussian belief propagation solver for systems of linear equations"

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)