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: "machine learning based channel modeling for molecular mimo communications"
  Abstract: In diffusion-based molecular communication, information particles locomote via a diffusion process, characterized by random movement and heavy tail distribution for the random arrival time. As a result, the molecular communication shows lower transmission rates. To compensate for such low rates, researchers have recently proposed the molecular multiple-input multiple-output (MIMO) technique. Although channel models exist for single-input single-output (SISO) systems for some simple environments, extending the results to multiple molecular emitters complicates the modeling process. In this paper, we introduce a technique for modeling the molecular MIMO channel and confirm the effectiveness via numerical studies.

Connected through hyperedge HE-1 (induced by source paper "index modulation for molecular communication via diffusion systems"):
  with members:
    - "channel estimation for diffusive mimo molecular communications"
    - "spatial diversity in molecular communications"
    - "modeling and simulation of molecular communication systems with a reversible adsorption receiver"
    - "index modulation techniques for 5g wireless networks"
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "molecular mimo communication link"
    - "detection algorithms for molecular mimo"

Connected through hyperedge HE-2 (induced by source paper "two way molecular communications"):
  with members:
    - "effective enzyme deployment for degradation of interference molecules in molecular communication"
    - "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-3 (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"
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "effect of degradation in molecular communication impairment or enhancement"
    - "novel modulation techniques using isomers as messenger molecules for nano communication networks via diffusion"

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"
    - "effective enzyme deployment for degradation of interference molecules in molecular communication"
    - "modeling duct flow for molecular communication"

Connected through hyperedge HE-5 (induced by source paper "spatial modulation for molecular communication"):
  with members:
    - "spatial coding techniques for molecular mimo"
    - "channel estimation for diffusive mimo molecular communications"
    - "active versus passive receiver model transforms for diffusive molecular communication"
    - "chemical propagation pattern for 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"
    - "massive mimo for next generation wireless systems"

Connected through hyperedge HE-6 (induced by source paper "performance analysis of reversible binding receptor based decode and forward relay in molecular communication systems"):
  with members:
    - "modeling and simulation of molecular communication systems with a reversible adsorption receiver"
    - "chemical propagation pattern for molecular communications"
    - "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-7 (induced by source paper "molecular signal modeling of a partially counting absorbing spherical receiver"):
  with members:
    - "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"
    - "improving receiver performance of diffusive molecular communication with enzymes"

Connected through hyperedge HE-8 (induced by source paper "spatial coding techniques for molecular mimo"):
  with members:
    - "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 mimo communication link"
    - "molecular communications channel model and physical layer techniques"
    - "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"
    - "molecular communication in fluid media the additive inverse gaussian noise channel"

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)