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: "capacity of diffusion based molecular communication with ligand receptors"
  Abstract: A diffusion-based molecular communication system has two major components: the diffusion in the medium, and the ligand-reception. Information bits, encoded in the time variations of the concentration of molecules, are conveyed to the receiver front through the molecular diffusion in the medium. The receiver, in turn, measures the concentration of the molecules in its vicinity in order to retrieve the information. This is done via ligand-reception process. In this paper, we develop models to study the constraints imposed by the concentration sensing at the receiver side and derive the maximum rate by which a ligand-receiver can receive information. Therefore, the overall capacity of the diffusion channel with the ligand receptors can be obtained by combining the results presented in this paper with our previous work on the achievable information rate of molecular communication over the diffusion channel.

Connected through hyperedge HE-1 (induced by source paper "transmitter and receiver architectures for molecular communications a survey on physical design with modulation coding and detection techniques"):
  with members:
    - "magnetic nanoparticle based molecular communication in microfluidic environments"
    - "diffusion based molecular communication with limited molecule production rate"
    - "stochastic channel modeling for diffusive mobile molecular communication systems"
    - "exploiting diversity in molecular timing channels via order statistics"
    - "experimental molecular communication testbed based on magnetic nanoparticles in duct flow"
    - "diversity gain of one shot communication over molecular timing channels"
    - "a novel experimental platform for in vessel multi chemical molecular communications"
    - "on the design of matched filters for molecule counting receivers"

Connected through hyperedge HE-2 (induced by source paper "compound poisson noise sources in diffusion based molecular communication"):
  with members:
    - "stochastic channel modeling for diffusive mobile molecular communication systems"
    - "analysis and design of multi hop diffusion based molecular communication networks"
    - "stable distributions as noise models for molecular communication"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "tcp like molecular communications"
    - "a unifying model for external noise sources and isi in diffusive molecular communication"
    - "isi mitigation techniques in molecular communication"
    - "diffusion based nanonetworking a new modulation technique and performance analysis"

Connected through hyperedge HE-3 (induced by source paper "the channel capacity of channelrhodopsin and other intensity driven signal transduction receptors"):
  with members:
    - "thermodynamic properties of molecular communication"
    - "shannon capacity of signal transduction for multiple independent receptors"
    - "capacity of a post channel with and without feedback"

Connected through hyperedge HE-4 (induced by source paper "diffusion based molecular communication principle key technologies and challenges"):
  with members:
    - "physical layer network coding in molecular two way relay networks"
    - "capacity limits of diffusion based molecular timing channels"
    - "on the capacity of level and type modulation in molecular communication with ligand receptors"
    - "amplify and forward relaying in two hop diffusion based molecular communication networks"
    - "relaying in diffusion based molecular communication"
    - "a unifying model for external noise sources and isi in diffusive molecular communication"
    - "extended master equation models for molecular communication networks"
    - "diffusion based nanonetworking a new modulation technique and performance analysis"

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"
    - "effective enzyme deployment for degradation of interference molecules in molecular communication"
    - "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 discrete molecular diffusion channels"

Connected through hyperedge HE-6 (induced by source paper "generalized solution for the demodulation of reaction shift keying signals in molecular communication networks"):
  with members:
    - "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 discrete molecular diffusion channels"

Connected through hyperedge HE-7 (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-8 (induced by source paper "a comprehensive survey of recent advancements in molecular communication"):
  with members:
    - "molecular mimo from theory to prototype"
    - "molecular communications channel model and physical layer techniques"
    - "a universal channel model for molecular communication systems with metal oxide detectors"
    - "design and optimizing of on chip kinesin substrates for molecular communication"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "a molecular communication link for monitoring in confined environments"
    - "relaying in diffusion based molecular communication"
    - "effect of receptor density and size on signal reception in molecular communication via diffusion with an absorbing receiver"

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)