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 hybrid power state estimation under pmu sampling phase errors"
  Abstract: Phasor measurement units (PMUs) have the advantage of providing direct measurements of power states. However, as the number of PMUs in a power system is limited, the traditional supervisory control and data acquisition (SCADA) system cannot be replaced by the PMU-based system overnight. Therefore, hybrid power state estimation taking advantage of both systems is important. As experiments show that sampling phase errors among PMUs are inevitable in practical deployment, this paper proposes a distributed power state estimation algorithm under PMU phase errors. The proposed distributed algorithm only involves local computations and limited information exchange between neighboring areas, thus alleviating the heavy communication burden compared to the centralized approach. Simulation results show that the performance of the proposed algorithm is very close to that of centralized optimal hybrid state estimates without sampling phase error.

Connected through hyperedge HE-1 (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 clock skew and offset estimation in wireless sensor networks asynchronous algorithm and convergence analysis"
    - "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-2 (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"
    - "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-3 (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 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-4 (induced by source paper "design and analysis of distributed state estimation algorithms based on belief propagation and applications in smart grids"):
  with members:
    - "linear state estimation via 5g c ran cellular networks using gaussian belief propagation"
    - "fast real time dc state estimation in electric power systems using belief propagation"
    - "distributed gauss newton method for ac state estimation a belief propagation approach"
    - "state estimation in electric power systems using belief propagation an extended dc model"
    - "scalable uplink signal detection in c rans via randomized gaussian message passing"

Connected through hyperedge HE-5 (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 clock skew and offset estimation in wireless sensor networks asynchronous algorithm and convergence analysis"

Connected through hyperedge HE-6 (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 clock skew and offset estimation in wireless sensor networks asynchronous algorithm and convergence analysis"

Connected through hyperedge HE-7 (induced by source paper "detecting localized categorical attributes on graphs"):
  with members:
    - "sampling and reconstruction of sparse signals on circulant graphs an introduction to graph fri"
    - "stationary signal processing on graphs"
    - "stationary graph processes and spectral estimation"
    - "efficient sampling set selection for bandlimited graph signals using graph spectral proxies"
    - "sampling of graph signals with successive local aggregations"
    - "signals on graphs uncertainty principle and sampling"
    - "signal representations on graphs tools and applications"
    - "local set based graph signal reconstruction"

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 clock skew and offset estimation in wireless sensor networks asynchronous algorithm and convergence analysis"
    - "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.SY(Systems and Control)