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: "detection algorithms for molecular mimo"
  Abstract: In this paper, we propose a novel design for molecular communication in which both the transmitter and the receiver have, in a 3-dimensional environment, multiple bulges (in RF communication this corresponds to antenna). The proposed system consists of a fluid medium, information molecules, a transmitter, and a receiver. We simulate the system with a one-shot signal to obtain the channel's finite impulse response. We then incorporate this result within our mathematical analysis to determine interference. Molecular communication has a great need for low complexity, hence, the receiver may have incomplete information regarding the system and the channel state. Thus, for the cases of limited information set at the receiver, we propose three detection algorithms, namely adaptive thresholding, practical zero forcing, and Genie-aided zero forcing.

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"
    - "machine learning based channel modeling for molecular mimo 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"

Connected through hyperedge HE-2 (induced by source paper "molecular mimo from theory to prototype"):
  with members:
    - "a comprehensive survey of recent advancements in molecular communication"
    - "molecular mimo communication link"
    - "design and optimizing of on chip kinesin substrates for 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"
    - "isi mitigation techniques in molecular communication"
    - "effect of degradation in molecular communication impairment or enhancement"
    - "symbol interval optimization for molecular communication with drift"

Connected through hyperedge HE-3 (induced by source paper "a molecular communications model for drug delivery"):
  with members:
    - "tcp like molecular communications"
    - "effect of receptor density and size on signal reception in molecular communication via diffusion with an absorbing receiver"
    - "design and analysis of wireless communication systems using diffusion based molecular communication among bacteria"
    - "simulation of molecular signaling in blood vessels software design and application to atherogenesis"
    - "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)