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: "effective enzyme deployment for degradation of interference molecules in molecular communication"
  Abstract: In molecular communication, the heavy tail nature of molecular signals causes inter-symbol interference (ISI). Because of this, it is difficult to decrease symbol periods and achieve high data rate. As a probable solution for ISI mitigation, enzymes were proposed to be used since they are capable of degrading ISI molecules without deteriorating the molecular communication. While most prior work has assumed an infinite amount of enzymes deployed around the channel, from a resource perspective, it is more efficient to deploy a limited amount of enzymes at particular locations and structures. This paper considers carrying out such deployment at two structures--around the receiver (Rx) and/or the transmitter (Tx) site. For both of the deployment scenarios, channels with different system environment parameters, Tx-to-Rx distance, size of enzyme area, and symbol period, are compared with each other for analyzing an optimized system environment for ISI mitigation when a limited amount of enzymes are available.

Connected through hyperedge HE-1 (induced by source paper "two way molecular communications"):
  with members:
    - "machine learning based channel modeling for molecular mimo 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"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "isi mitigation techniques in molecular communication"
    - "symbol interval optimization for molecular communication with drift"
    - "channel and noise models for nonlinear molecular communication systems"

Connected through hyperedge HE-2 (induced by source paper "chemical reactions based detection mechanism for molecular communications"):
  with members:
    - "chemical reactions based microfluidic transmitter and receiver for molecular communication"
    - "diffusive molecular communications with reactive molecules channel modeling and signal design"
    - "channel modeling for diffusive molecular communication a tutorial review"
    - "on the design of matched filters for molecule counting receivers"
    - "on medium chemical reaction in diffusion based molecular communication a two way relaying example"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "extended master equation models for molecular communication networks"
    - "tabletop molecular communication text messages through chemical signals"

Connected through hyperedge HE-3 (induced by source paper "high dimensional metric combining for non coherent molecular signal detection"):
  with members:
    - "active versus passive receiver model transforms for diffusive molecular communication"
    - "chemical propagation pattern for molecular communications"
    - "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-4 (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"
    - "modeling duct flow for molecular communication"
    - "molecular communication using magnetic nanoparticles"

Connected through hyperedge HE-5 (induced by source paper "improving the capacity of molecular communication using enzymatic reaction cycles"):
  with members:
    - "generalized solution for the demodulation of reaction shift keying signals in molecular communication networks"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "a markovian approach to the optimal demodulation of diffusion based molecular communication networks"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "optimal receiver design for diffusive molecular communication with flow and additive noise"
    - "extended master equation models for molecular communication networks"
    - "capacity of diffusion based molecular communication with ligand receptors"
    - "capacity of discrete molecular diffusion 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:
    - "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"
    - "a markovian approach to the optimal demodulation of diffusion based molecular communication networks"

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)