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 degradation in molecular communication impairment or enhancement"
  Abstract: In the nanonetworking literature, many solutions have been suggested to enable the nanomachine-to-nanomachine communication. Among these solutions, we focus on what constitutes the basis for molecular communication paradigms --molecular communication via diffusion (MCvD). In this paper, we start with an analytical modeling of a spherical absorbing receiver under messenger molecule degradation and show that our formulations are in agreement with the simulation results of a similar topology. Next, we identify how such signal characteristics as pulse peak time and pulse amplitude are affected by degradation. Indeed, we show analytically how in MCvD, signal shaping is achieved through degradation. We also compare communication under messenger molecule degradation with the case of no-degradation and electromagnetic communication in terms of channel characteristics. Lastly, we evaluate the communication performance of the scenarios having various degradation rates. Here, we assess the system performance according to traditional network metrics such as the level of inter-symbol interference, detection performance, bit error rate, and channel capacity. Our results indicate that introducing degradation significantly improves the system performance when the rate of degradation is appropriately selected. We make a thorough analysis of the communication scenario by taking into account different detection thresholds, symbol durations, and communication distances.

Connected through hyperedge HE-1 (induced by source paper "on hybrid mosk csk modulation based molecular communication error rate performance analysis using stochastic geometry"):
  with members:
    - "spatial coding techniques for molecular mimo"
    - "machine learning based channel modeling for molecular mimo communications"
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "novel modulation techniques using isomers as messenger molecules for nano communication networks via diffusion"

Connected through hyperedge HE-2 (induced by source paper "channel characterization for 1d molecular communication with two absorbing receivers"):
  with members:
    - "convex optimization of distributed cooperative detection in multi receiver molecular communication"
    - "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 "analyzing large scale multiuser molecular communication via 3d stochastic geometry"):
  with members:
    - "reactive receiver modeling for diffusive molecular communication systems with molecule degradation"
    - "3d stochastic geometry model for large scale molecular communication systems"
    - "modeling and simulation of molecular communication systems with a reversible adsorption receiver"
    - "physical layer security in three tier wireless sensor networks a stochastic geometry approach"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "a unifying model for external noise sources and isi in diffusive molecular communication"
    - "isi mitigation techniques in molecular communication"
    - "using dimensional analysis to assess scalability and accuracy in molecular communication"

Connected through hyperedge HE-5 (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 receptor density and size on signal reception in molecular communication via diffusion with an absorbing receiver"
    - "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-6 (induced by source paper "information theory of molecular communication directions and challenges"):
  with members:
    - "shannon capacity of signal transduction for multiple independent receptors"
    - "capacity limits of diffusion based molecular timing channels"
    - "comprehensive reactive receiver modeling for diffusive molecular communication systems reversible binding molecule degradation and finite number of receptors"
    - "type based sign modulation for molecular communication"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "information friction and its implications on minimum energy required for communication"
    - "a perspective on future research directions in information theory"
    - "upper bound on the capacity of a cascade of nonlinear and noisy channels"

Connected through hyperedge HE-7 (induced by source paper "modeling and simulation of molecular communication systems with a reversible adsorption receiver"):
  with members:
    - "3d stochastic geometry model for large scale molecular communication systems"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "joint channel parameter estimation via diffusive molecular communication"
    - "a markovian approach to the optimal demodulation of diffusion based molecular communication networks"
    - "molecular communication with a reversible adsorption receiver"
    - "optimal demodulation of reaction shift keying signals in diffusion based molecular communication networks"
    - "arrival modeling and error analysis for molecular communication via diffusion with drift"
    - "variance constrained capacity of the molecular timing channel with synchronization error"

Connected through hyperedge HE-8 (induced by source paper "a machine learning approach to model the received signal in molecular communications"):
  with members:
    - "channel impulse responses in diffusive molecular communication with spherical transmitters"
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "molecular mimo communication link"
    - "molecular communications channel model and physical layer techniques"
    - "molecular communications with longitudinal carrier waves baseband to passband modulation"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "effect of receptor density and size on signal reception in molecular communication via diffusion with an absorbing receiver"

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)