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 clock skew and offset estimation in wireless sensor networks asynchronous algorithm and convergence analysis"
  Abstract: In this paper, we propose a fully distributed algorithm for joint clock skew and offset estimation in wireless sensor networks based on belief propagation. In the proposed algorithm, each node can estimate its clock skew and offset in a completely distributed and asynchronous way: some nodes may update their estimates more frequently than others using outdated message from neighboring nodes. In addition, the proposed algorithm is robust to random packet loss. Such algorithm does not require any centralized information processing or coordination, and is scalable with network size. The proposed algorithm represents a unified framework that encompasses both classes of synchronous and asynchronous algorithms for network-wide clock synchronization. It is shown analytically that the proposed asynchronous algorithm converges to the optimal estimates with estimation mean-square-error at each node approaching the centralized Cram\'er-Rao bound under any network topology. Simulation results further show that {the convergence speed is faster than that corresponding to a synchronous algorithm}.

Connected through hyperedge HE-1 (induced by source paper "cooperative network synchronization asymptotic analysis"):
  with members:
    - "on the outage probability of localization in randomly deployed wireless networks"
    - "a scalable algorithm for tracking an unknown number of targets using multiple sensors"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "cooperative simultaneous localization and synchronization in mobile agent networks"
    - "cooperative joint localization and clock synchronization based on gaussian message passing in asynchronous wireless networks"
    - "performance limits and geometric properties of array localization"
    - "on stochastic geometry modeling of cellular uplink transmission with truncated channel inversion power control"
    - "power optimization for network localization"

Connected through hyperedge HE-2 (induced by source paper "rf based energy harvesting in decode and forward relaying systems ergodic and outage capacities"):
  with members:
    - "smart charging for electric vehicles a survey from the algorithmic perspective"
    - "distributed hybrid power state estimation under pmu sampling phase errors"
    - "distributed power splitting for swipt in relay interference channels using game theory"
    - "on the efficiency of far field wireless power transfer"
    - "power allocation strategies in energy harvesting wireless cooperative networks"
    - "relaying protocols for wireless energy harvesting and information processing"
    - "wireless information transfer with opportunistic energy harvesting"
    - "wireless information and power transfer architecture design and rate energy tradeoff"

Connected through hyperedge HE-3 (induced by source paper "topology adaptive graph convolutional networks"):
  with members:
    - "spectral projector based graph fourier transforms"
    - "cayleynets graph convolutional neural networks with complex rational spectral filters"
    - "node2vec scalable feature learning for networks"
    - "geometric deep learning on graphs and manifolds using mixture model cnns"
    - "discriminative embeddings of latent variable models for structured data"
    - "revisiting semi supervised learning with graph embeddings"
    - "diffusion convolutional neural networks"
    - "adam a method for stochastic optimization"

Connected through hyperedge HE-4 (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 convergence verification for gaussian belief propagation"
    - "distributed hybrid power state estimation under pmu sampling phase errors"
    - "throughput analysis and optimization of wireless powered multiple antenna full duplex relay systems"
    - "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-5 (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"
    - "distributed convergence verification for gaussian belief propagation"
    - "smart charging for electric vehicles a survey from the algorithmic perspective"
    - "distributed hybrid power state estimation under pmu sampling phase errors"
    - "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-6 (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"
    - "distributed convergence verification for gaussian belief propagation"
    - "smart charging for electric vehicles a survey from the algorithmic perspective"
    - "distributed hybrid power state estimation under pmu sampling phase errors"

Connected through hyperedge HE-7 (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"
    - "distributed convergence verification for gaussian belief propagation"
    - "smart charging for electric vehicles a survey from the algorithmic perspective"
    - "distributed hybrid power state estimation under pmu sampling phase errors"

Connected through hyperedge HE-8 (induced by source paper "distributed convergence verification for gaussian belief propagation"):
  with members:
    - "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"
    - "low complexity detection in large dimension mimo isi channels using graphical models"
    - "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.DC(Distributed, Parallel, and Cluster Computing)