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: "symbol interval optimization for molecular communication with drift"
  Abstract: In this paper, we propose a symbol interval optimization algorithm in molecular communication with drift. Proper symbol intervals are important in practical communication systems since information needs to be sent as fast as possible with low error rates. There is a trade-off, however, between symbol intervals and inter-symbol interference (ISI) from Brownian motion. Thus, we find proper symbol interval values considering the ISI inside two kinds of blood vessels, and also suggest no ISI system for strong drift models. Finally, an isomer-based molecule shift keying (IMoSK) is applied to calculate achievable data transmission rates (achievable rates, hereafter). Normalized achievable rates are also obtained and compared in one-symbol ISI and no ISI systems.

Connected through hyperedge HE-1 (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-2 (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"
    - "channel and noise models for nonlinear molecular communication systems"

Connected through hyperedge HE-3 (induced by source paper "simulation study and analysis of diffusive molecular communications with an apertured plane"):
  with members:
    - "index modulation for molecular communication via diffusion systems"
    - "molecular information delivery in porous media"
    - "on the design of matched filters for molecule counting receivers"
    - "molecular signal modeling of a partially counting absorbing spherical receiver"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "arrival modeling and error analysis for molecular communication via diffusion with drift"
    - "novel modulation techniques using isomers as messenger molecules for nano communication networks via diffusion"
    - "diffusion based nanonetworking a new modulation technique and performance analysis"

Connected through hyperedge HE-4 (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"
    - "diffusion based nanonetworking a new modulation technique and performance analysis"
    - "molecular communication in fluid media the additive inverse gaussian noise channel"

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

Connected through hyperedge HE-6 (induced by source paper "diffusive mimo molecular communications channel estimation equalization and detection"):
  with members:
    - "stochastic channel modeling for diffusive mobile molecular communication systems"
    - "channel estimation for diffusive mimo molecular communications"
    - "on the capacity of diffusion based molecular timing channels"
    - "comprehensive reactive receiver modeling for diffusive molecular communication systems reversible binding molecule degradation and finite number of receptors"
    - "channel estimation for diffusive molecular communications"
    - "molecular mimo from theory to prototype"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "analysis and design of multi hop diffusion based molecular communication networks"

Connected through hyperedge HE-7 (induced by source paper "on flow induced diffusive mobile molecular communication first hitting time and performance analysis"):
  with members:
    - "a novel experimental platform for in vessel multi chemical molecular communications"
    - "cooperative abnormality detection via diffusive molecular communications"
    - "diffusive mobile molecular communications over time variant channels"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "optimal receiver design for diffusive molecular communication with flow and additive noise"
    - "molecular communication in fluid media the additive inverse gaussian noise channel"

Connected through hyperedge HE-8 (induced by source paper "normal inverse gaussian approximation for arrival time difference in flow induced molecular communications"):
  with members:
    - "active versus passive receiver model transforms for diffusive molecular communication"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "stable distributions as noise models for molecular communication"
    - "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.IT(Information Theory)