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: "molecular communication in fluid media the additive inverse gaussian noise channel"
  Abstract: In this paper, we consider molecular communication, with information conveyed in the time of release of molecules. These molecules propagate to the transmitter through a fluid medium, propelled by a positive drift velocity and Brownian motion. The main contribution of this paper is the development of a theoretical foundation for such a communication system; specifically, the additive inverse Gaussian noise (AIGN) channel model. In such a channel, the information is corrupted by noise that follows an IG distribution. We show that such a channel model is appropriate for molecular communication in fluid media. Taking advantage of the available literature on the IG distribution, upper and lower bounds on channel capacity are developed, and a maximum likelihood receiver is derived. Results are presented which suggest that this channel does not have a single quality measure analogous to signal-to-noise ratio in the additive white Gaussian noise channel. It is also shown that the use of multiple molecules leads to reduced error rate in a manner akin to diversity order in wireless communications. Finally, some open problems are discussed that arise from the IG channel model.

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 "a novel time based modulation scheme in time asynchronous channels for molecular communications"):
  with members:
    - "spatial modulation for molecular communication"
    - "exploiting diversity in molecular timing channels via order statistics"
    - "channel modeling for diffusive molecular communication a tutorial review"
    - "diversity gain of one shot communication over molecular timing channels"
    - "optimal detection for diffusion based molecular timing channels"
    - "on the capacity of diffusion based molecular timing channels"
    - "on the impact of time synchronization in molecular timing channels"
    - "a molecular communications model for drug delivery"

Connected through hyperedge HE-3 (induced by source paper "two way molecular communications"):
  with members:
    - "effective enzyme deployment for degradation of interference molecules in molecular communication"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "molecular communication with anomalous diffusion in stochastic nanonetworks"):
  with members:
    - "stochastic channel modeling for diffusive mobile molecular communication systems"
    - "on the design of matched filters for molecule counting receivers"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "symbol synchronization for diffusion based molecular communications"
    - "channel estimation for diffusive molecular communications"
    - "molecular communications channel model and physical layer techniques"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "a unifying model for external noise sources and isi in diffusive molecular communication"

Connected through hyperedge HE-5 (induced by source paper "diffusive molecular communications with reactive molecules channel modeling and signal design"):
  with members:
    - "a survey of biological building blocks for synthetic molecular communication systems"
    - "channel modeling for diffusive molecular communication a tutorial review"
    - "a novel experimental platform for in vessel multi chemical molecular communications"
    - "diffusive molecular communications with reactive signaling"
    - "channel estimation for diffusive molecular communications"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "transmit pulse shaping for molecular communications"

Connected through hyperedge HE-6 (induced by source paper "performance enhancement of diffusion based molecular communication with photolysis"):
  with members:
    - "type based sign modulation for molecular communication"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "wireless sensor network virtualization a survey"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "isi mitigation techniques in molecular communication"
    - "symbol interval optimization for molecular communication with drift"
    - "diffusion based nanonetworking a new modulation technique and performance analysis"

Connected through hyperedge HE-7 (induced by source paper "molecular communication in h diffusion"):
  with members:
    - "molecular communication with anomalous diffusion in stochastic nanonetworks"
    - "stochastic channel modeling for diffusive mobile molecular communication systems"
    - "channel estimation for diffusive molecular communications"
    - "molecular mimo from theory to prototype"
    - "channel and noise models for nonlinear molecular communication systems"

Connected through hyperedge HE-8 (induced by source paper "end to end performance optimization in hybrid molecular and electromagnetic communications"):
  with members:
    - "applications of molecular communications to medicine a survey"
    - "active versus passive receiver model transforms for diffusive molecular communication"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "analysis and design of multi hop diffusion based molecular communication networks"
    - "relaying in diffusion based 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)