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: "effect of receptor density and size on signal reception in molecular communication via diffusion with an absorbing receiver"
  Abstract: The performance of molecular communication is significantly impacted by the reception process of the messenger molecules. The receptors' size and density, however, have yet to be investigated. In this letter, we analyze the effect of receptor density and size on the signal reception of an absorbing receiver with receptors. The results show that, when the total receptor area is the same, better hitting probability is achieved by using a higher number of relatively small receptors. In addition, deploying receptors, which cover a small percentage of the receiver surface, is able to create an effective communication channel that has a detectable signal level.

Connected through hyperedge HE-1 (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-2 (induced by source paper "synchronization for diffusion based molecular communication systems via faster molecules"):
  with members:
    - "symbol synchronization for diffusion based molecular communications"
    - "symbol synchronization for diffusive molecular communication systems"
    - "nanoscale communication with brownian motion"

Connected through hyperedge HE-3 (induced by source paper "non coherent detection for diffusive molecular communications"):
  with members:
    - "on the design of matched filters for molecule counting receivers"
    - "diffusive mobile molecular communications over time variant channels"
    - "symbol synchronization for diffusive molecular communication systems"
    - "comprehensive reactive receiver modeling for diffusive molecular communication systems reversible binding molecule degradation and finite number of receptors"
    - "channel estimation for diffusive molecular communications"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "low complexity noncoherent signal detection for nanoscale molecular communications"
    - "stable distributions as noise models for molecular communication"

Connected through hyperedge HE-4 (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"
    - "chemical propagation pattern for molecular 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"

Connected through hyperedge HE-5 (induced by source paper "symbol synchronization for diffusion based molecular communications"):
  with members:
    - "on the design of matched filters for molecule counting receivers"
    - "diffusive mobile molecular communications over time variant channels"
    - "symbol synchronization for diffusive molecular communication systems"
    - "comprehensive reactive receiver modeling for diffusive molecular communication systems reversible binding molecule degradation and finite number of receptors"
    - "channel estimation for diffusive molecular communications"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "joint channel parameter estimation via diffusive molecular communication"
    - "improving receiver performance of diffusive molecular communication with enzymes"

Connected through hyperedge HE-6 (induced by source paper "effective enzyme deployment for degradation of interference molecules in molecular communication"):
  with members:
    - "effective inter symbol interference mitigation with a limited amount of enzymes in molecular communications"
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "effect of degradation in molecular communication impairment or enhancement"
    - "symbol interval optimization for molecular communication with drift"
    - "channel and noise models for nonlinear molecular communication systems"
    - "novel modulation techniques using isomers as messenger molecules for nano communication networks via diffusion"

Connected through hyperedge HE-7 (induced by source paper "machine learning based channel modeling for molecular mimo communications"):
  with members:
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "optimal receiver design for diffusive molecular communication with flow and additive noise"
    - "novel modulation techniques using isomers as messenger molecules for nano communication networks via diffusion"
    - "diffusion based nanonetworking a new modulation technique and performance analysis"
    - "molecular communication in fluid media the additive inverse gaussian noise channel"

Connected through hyperedge HE-8 (induced by source paper "a comprehensive survey of recent advancements in molecular communication"):
  with members:
    - "molecular mimo from theory to prototype"
    - "molecular communications channel model and physical layer techniques"
    - "a universal channel model for molecular communication systems with metal oxide detectors"
    - "design and optimizing of on chip kinesin substrates for molecular communication"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "a molecular communication link for monitoring in confined environments"
    - "relaying in diffusion based molecular communication"
    - "optimal receiver design for diffusive molecular communication with flow and additive noise"

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)