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 diffusion based molecular communications"
  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 several symbol synchronization schemes 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 develop two synchronization-detection frameworks which both employ two types of molecule. In the first framework, one type of molecule is used for symbol synchronization and the other one is used for data detection, whereas in the second framework, both types of molecule are used for joint symbol synchronization and data detection. For both frameworks, we first derive the optimal maximum likelihood (ML) symbol synchronization schemes as performance upper bounds. Since ML synchronization entails high complexity, for each framework, we also propose three low-complexity suboptimal schemes, namely a linear filter-based scheme, a peak observation-based scheme, and a threshold-trigger scheme which are suitable for MC systems with limited computational capabilities. Furthermore, we study the relative complexity and the constraints associated with the proposed schemes and the impact of the insertion and deletion errors that arise due to imperfect synchronization.

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"
    - "applications of molecular communications to medicine a survey"

Connected through hyperedge HE-2 (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"
    - "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"
    - "optimal receiver design for diffusive molecular communication with flow and additive noise"

Connected through hyperedge HE-3 (induced by source paper "magnetic nanoparticle based molecular communication in microfluidic environments"):
  with members:
    - "experimental molecular communication testbed based on magnetic nanoparticles in duct flow"
    - "modeling duct flow for molecular communication"
    - "molecular communication using magnetic nanoparticles"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "improving receiver performance of diffusive molecular communication with enzymes"

Connected through hyperedge HE-4 (induced by source paper "channel modeling for diffusive molecular communication a tutorial review"):
  with members:
    - "a survey of biological building blocks for synthetic molecular communication systems"
    - "stochastic channel modeling for diffusive mobile molecular communication systems"
    - "a novel experimental platform for in vessel multi chemical molecular communications"
    - "generalized solution for the demodulation of reaction shift keying signals in molecular communication networks"
    - "diffusive mobile molecular communications over time variant channels"
    - "effective enzyme deployment for degradation of interference molecules in molecular communication"
    - "modeling duct flow for molecular communication"
    - "molecular communication using magnetic nanoparticles"

Connected through hyperedge HE-5 (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 diffusive molecular communication systems"
    - "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-6 (induced by source paper "synchronization for diffusion based molecular communication systems via faster molecules"):
  with members:
    - "symbol synchronization for diffusive molecular communication systems"
    - "effect of receptor density and size on signal reception in molecular communication via diffusion with an absorbing receiver"
    - "nanoscale communication with brownian motion"

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)