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 synchronization for diffusive molecular communication systems"
  Abstract: Symbol synchronization refers to the estimation of the start of a symbol interval and is needed for reliable detection. In this paper, we develop a symbol synchronization framework for molecular communication (MC) systems where we consider some practical challenges which have not been addressed in the literature yet. In particular, we take into account that in MC systems, the transmitter may not be equipped with an internal clock and may not be able to emit molecules with a fixed release frequency. Such restrictions hold for practical nanotransmitters, e.g. modified cells, where the lengths of the symbol intervals may vary due to the inherent randomness in the availability of food and energy for molecule generation, the process for molecule production, and the release process. To address this issue, we propose to employ two types of molecules, one for synchronization and one for data transmission. We derive the optimal maximum likelihood (ML) symbol synchronization scheme as a performance upper bound. Since ML synchronization entails high complexity, we also propose two low-complexity synchronization schemes, namely a peak observation-based scheme and a threshold-trigger scheme, which are suitable for MC systems with limited computational capabilities. Our simulation results reveal the effectiveness of the proposed synchronization~schemes and suggest that the end-to-end performance of MC systems significantly depends on the accuracy of symbol synchronization.

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 "adaptive release duration modulation for limited molecule production and storage"):
  with members:
    - "information theory of molecular communication directions and challenges"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "nanoscale communication with brownian motion"

Connected through hyperedge HE-3 (induced by source paper "stochastic channel modeling for diffusive mobile molecular communication systems"):
  with members:
    - "on the design of matched filters for molecule counting receivers"
    - "diffusive mobile molecular communications over time variant channels"
    - "scw codes for maximum likelihood detection in diffusive molecular communications without channel state information"
    - "symbol synchronization for diffusion based molecular communications"
    - "comprehensive reactive receiver modeling for diffusive molecular communication systems reversible binding molecule degradation and finite number of receptors"
    - "channel estimation for diffusive molecular communications"
    - "analysis and design of multi hop diffusion based molecular communication networks"
    - "improving receiver performance of diffusive molecular communication with enzymes"

Connected through hyperedge HE-4 (induced by source paper "diffusion based molecular communication with limited molecule production rate"):
  with members:
    - "a comprehensive survey of recent advancements in molecular communication"
    - "information capacity of energy harvesting sensor nodes"
    - "optimum transmission policies for battery limited energy harvesting nodes"
    - "information theoretic analysis of an energy harvesting communication system"

Connected through hyperedge HE-5 (induced by source paper "synchronization for diffusion based molecular communication systems via faster molecules"):
  with members:
    - "symbol synchronization for diffusion based molecular communications"
    - "effect of receptor density and size on signal reception in molecular communication via diffusion with an absorbing receiver"
    - "nanoscale communication with brownian motion"

Connected through hyperedge HE-6 (induced by source paper "non coherent detection for diffusive molecular communications"):
  with members:
    - "on the design of matched filters for molecule counting receivers"
    - "diffusive mobile molecular communications over time variant 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"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "low complexity noncoherent signal detection for nanoscale molecular communications"
    - "stable distributions as noise models for molecular communication"
    - "improving receiver performance of diffusive molecular communication with enzymes"

Connected through hyperedge HE-7 (induced by source paper "symbol synchronization for diffusion based molecular communications"):
  with members:
    - "on the design of matched filters for molecule counting receivers"
    - "diffusive mobile molecular communications over time variant 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"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "joint channel parameter estimation via diffusive 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"

Connected through hyperedge HE-8 (induced by source paper "cooperative abnormality detection via diffusive molecular communications"):
  with members:
    - "comprehensive reactive receiver modeling for diffusive molecular communication systems reversible binding molecule degradation and finite number of receptors"
    - "abnormality detection in correlated gaussian molecular nano networks design and analysis"
    - "channel estimation for diffusive molecular communications"
    - "distributed cooperative detection for multi receiver molecular communication"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "modeling and analysis of abnormality detection in biomolecular nano networks"
    - "diffusion based nanonetworking a new modulation technique and performance analysis"

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)