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: "chemical propagation pattern for molecular communications"
  Abstract: In a diffusion-based molecular communication system, molecules are employed to convey information. When propagation and reception processes are considered in a framework of first passage processes, we need to focus on absorbing receivers. For this kind of molecular communication system, the characteristics of the channel is also affected by the shape of the transmitter. In the literature, most studies focus on systems with a point transmitter due to circular symmetry. In this letter, we address propagation and reception pattern for chemical signals emitted from a spherical transmitter. We also investigate the directivity gain achieved by the reflecting spherical transmitter. We quantify the power gain by measuring the received power at different angles on a circular region. Moreover, we define three metrics, i.e., the half-power pattern-width, the directivity gain, and the peak time of the signal, for analyzing the received signal pattern.

Connected through hyperedge HE-1 (induced by source paper "high dimensional metric combining for non coherent molecular signal detection"):
  with members:
    - "effective enzyme deployment for degradation of interference molecules in molecular communication"
    - "active versus passive receiver model transforms for diffusive molecular communication"
    - "low complexity noncoherent signal detection for nanoscale molecular communications"
    - "analysis and design of multi hop diffusion based molecular communication networks"
    - "molecular communications channel model and physical layer techniques"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "optimal receiver design for diffusive molecular communication with flow and additive noise"

Connected through hyperedge HE-2 (induced by source paper "spherical diffusion model with semi permeable boundary a transfer function approach"):
  with members:
    - "channel impulse responses in diffusive molecular communication with spherical transmitters"
    - "a comprehensive survey of recent advancements in molecular communication"

Connected through hyperedge HE-3 (induced by source paper "channel modeling for diffusive molecular communication a tutorial review"):
  with members:
    - "a survey of biological building blocks for synthetic molecular communication systems"
    - "stochastic channel modeling for diffusive mobile molecular communication systems"
    - "a novel experimental platform for in vessel multi chemical molecular communications"
    - "generalized solution for the demodulation of reaction shift keying signals in molecular communication networks"
    - "diffusive mobile molecular communications over time variant channels"
    - "symbol synchronization for diffusion based molecular communications"
    - "effective enzyme deployment for degradation of interference molecules in molecular communication"
    - "modeling duct flow for molecular communication"

Connected through hyperedge HE-4 (induced by source paper "spatial modulation for molecular communication"):
  with members:
    - "spatial coding techniques for molecular mimo"
    - "channel estimation for diffusive mimo molecular communications"
    - "machine learning based channel modeling for molecular mimo communications"
    - "active versus passive receiver model transforms for diffusive molecular communication"
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "massive mimo for next generation wireless systems"

Connected through hyperedge HE-5 (induced by source paper "performance analysis of reversible binding receptor based decode and forward relay in molecular communication systems"):
  with members:
    - "machine learning based channel modeling for molecular mimo communications"
    - "modeling and simulation of molecular communication systems with a reversible adsorption receiver"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "amplify and forward relaying in two hop diffusion based molecular communication networks"

Connected through hyperedge HE-6 (induced by source paper "molecular signal modeling of a partially counting absorbing spherical receiver"):
  with members:
    - "machine learning based channel modeling for molecular mimo communications"
    - "channel impulse responses in diffusive molecular communication with spherical transmitters"
    - "a machine learning approach to model the received signal in molecular communications"
    - "isi aware modeling and achievable rate analysis of the diffusion channel"
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "molecular communications channel model and physical layer techniques"
    - "improving receiver performance of diffusive molecular communication with enzymes"

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.ET(Emerging Technologies)