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: "a novel molecular communication system using acids bases and hydrogen ions"
  Abstract: Concentration modulation, whereby information is encoded in the concentration level of chemicals, is considered. One of the main challenges with such systems is the limited control the transmitter has on the concentration level at the receiver. For example, concentration cannot be directly decreased by the transmitter, and the decrease in concentration over time occurs solely due to transport mechanisms such as diffusion. This can result in inter-symbol interference (ISI), which can have degrading effects on performance. In this work, a new and novel scheme is proposed that uses the transmission of acids, bases, and the concentration of hydrogen ions for carrying information. By employing this technique, the concentration of hydrogen ions at the receiver can be both increased and decreased through the sender's transmissions. This enables novel ISI mitigation schemes as well as the possibility to form a wider array of signal patterns at the receiver.

Connected through hyperedge HE-1 (induced by source paper "diffusive mobile mc with absorbing receivers stochastic analysis and applications"):
  with members:
    - "on flow induced diffusive mobile molecular communication first hitting time and performance analysis"
    - "stochastic channel modeling for diffusive mobile molecular communication systems"
    - "channel modeling for diffusive molecular communication a tutorial review"
    - "diffusive mobile molecular communications over time variant channels"
    - "diffusive molecular communications with reactive signaling"
    - "modeling and simulation of molecular communication systems with a reversible adsorption receiver"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "a molecular communications model for drug delivery"

Connected through hyperedge HE-2 (induced by source paper "exploiting diversity in molecular timing channels via order statistics"):
  with members:
    - "diversity gain of one shot communication over molecular timing channels"
    - "bits through queues with feedback"
    - "inscribed matter communication part ii"
    - "on the impact of time synchronization in molecular timing channels"
    - "capacity limits of diffusion based molecular timing channels"
    - "covert bits through queues"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "molecular communications channel model and physical layer techniques"

Connected through hyperedge HE-3 (induced by source paper "a novel experimental platform for in vessel multi chemical molecular communications"):
  with members:
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "a critical review of recurrent neural networks for sequence learning"
    - "channel and noise models for nonlinear molecular communication systems"
    - "extended master equation models for molecular communication networks"
    - "tabletop molecular communication text messages through chemical signals"
    - "novel modulation techniques using isomers as messenger molecules for nano communication networks via diffusion"
    - "molecular communication in fluid media the additive inverse gaussian noise channel"

Connected through hyperedge HE-4 (induced by source paper "detection algorithms for communication systems using deep learning"):
  with members:
    - "machine learning based channel modeling for molecular mimo communications"
    - "learning to decode linear codes using deep learning"
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "learning to communicate channel auto encoders domain specific regularizers and attention"
    - "adam a method for stochastic optimization"
    - "tabletop molecular communication text messages through chemical signals"

Connected through hyperedge HE-5 (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-6 (induced by source paper "on medium chemical reaction in diffusion based molecular communication a two way relaying example"):
  with members:
    - "effective enzyme deployment for degradation of interference molecules in molecular communication"
    - "diffusive molecular communications with reactive signaling"
    - "physical layer network coding in molecular two way relay networks"
    - "information theory of molecular communication directions and challenges"
    - "over the air function computation in sensor networks"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "analysis and design of multi hop diffusion based molecular communication networks"
    - "on the capacity of point to point and multiple access molecular communications with ligand receptors"

Connected through hyperedge HE-7 (induced by source paper "type based sign modulation and its application for isi mitigation in molecular communication"):
  with members:
    - "information theory of molecular communication directions and challenges"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "transmit pulse shaping for molecular communications"

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)