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: "improving diffusion based molecular communication with unanchored enzymes"
  Abstract: In this paper, we propose adding enzymes to the propagation environment of a diffusive molecular communication system as a strategy for mitigating intersymbol interference. The enzymes form reaction intermediates with information molecules and then degrade them so that they have a smaller chance of interfering with future transmissions. We present the reaction-diffusion dynamics of this proposed system and derive a lower bound expression for the expected number of molecules observed at the receiver. We justify a particle-based simulation framework, and present simulation results that show both the accuracy of our expression and the potential for enzymes to improve communication performance.

Connected through hyperedge HE-1 (induced by source paper "a survey of biological building blocks for synthetic molecular communication systems"):
  with members:
    - "transmitter and receiver architectures for molecular communications a survey on physical design with modulation coding and detection techniques"
    - "designing molecular circuits for approximate maximum a posteriori demodulation of concentration modulated signals"
    - "index modulation for molecular communication via diffusion systems"
    - "diffusive molecular communications with reactive molecules channel modeling and signal design"
    - "channel modeling for diffusive molecular communication a tutorial review"
    - "a novel experimental platform for in vessel multi chemical molecular communications"
    - "diffusion based molecular communication principle key technologies and challenges"
    - "symbol synchronization for diffusion based molecular communications"

Connected through hyperedge HE-2 (induced by source paper "effect of degradation in molecular communication impairment or enhancement"):
  with members:
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "optimal receiver design for diffusive molecular communication with flow and additive noise"
    - "transmit pulse shaping for molecular communications"
    - "using dimensional analysis to assess scalability and accuracy in molecular communication"
    - "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-3 (induced by source paper "optimal receiver design for diffusive molecular communication with flow and additive noise"):
  with members:
    - "diffusive molecular communication with disruptive flows"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "a unifying model for external noise sources and isi in diffusive molecular communication"
    - "using dimensional analysis to assess scalability and accuracy in molecular communication"
    - "extended master equation models for molecular communication networks"
    - "capacity of diffusion based molecular communication with ligand receptors"
    - "molecular communication in fluid media the additive inverse gaussian noise channel"

Connected through hyperedge HE-4 (induced by source paper "diffusive molecular communication with disruptive flows"):
  with members:
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "optimal receiver design for diffusive molecular communication with flow and additive noise"
    - "using dimensional analysis to assess scalability and accuracy in molecular communication"
    - "molecular communication in fluid media the additive inverse gaussian noise channel"

Connected through hyperedge HE-5 (induced by source paper "improving receiver performance of diffusive molecular communication with enzymes"):
  with members:
    - "using dimensional analysis to assess scalability and accuracy in molecular communication"
    - "extended master equation models for molecular communication networks"
    - "molecular communication in fluid media the additive inverse gaussian noise channel"
    - "capacity of discrete molecular diffusion channels"

Connected through hyperedge HE-6 (induced by source paper "a unifying model for external noise sources and isi in diffusive molecular communication"):
  with members:
    - "diffusive molecular communication with disruptive flows"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "optimal receiver design for diffusive molecular communication with flow and additive noise"
    - "using dimensional analysis to assess scalability and accuracy in molecular communication"

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.IT(Information Theory)