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: "amplify and forward relaying in two hop diffusion based molecular communication networks"
  Abstract: This paper studies a three-node network in which an intermediate nano-transceiver, acting as a relay, is placed between a nano-transmitter and a nano-receiver to improve the range of diffusion-based molecular communication. Motivated by the relaying protocols used in traditional wireless communication systems, we study amplify-and-forward (AF) relaying with fixed and variable amplification factor for use in molecular communication systems. To this end, we derive a closed-form expression for the expected end-to-end error probability. Furthermore, we derive a closed-form expression for the optimal amplification factor at the relay node for minimization of an approximation of the expected error probability of the network. Our analytical and simulation results show the potential of AF relaying to improve the overall performance of nano-networks.

Connected through hyperedge HE-1 (induced by source paper "symbol by symbol maximum likelihood detection for cooperative molecular communication"):
  with members:
    - "maximum likelihood detection for cooperative molecular communication"
    - "cooperative abnormality detection via diffusive molecular communications"
    - "convex optimization of distributed cooperative detection in multi receiver molecular communication"
    - "abnormality detection in correlated gaussian molecular nano networks design and analysis"
    - "distributed cooperative detection for multi receiver molecular communication"
    - "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-2 (induced by source paper "performance analysis of reversible binding receptor based decode and forward relay in molecular communication systems"):
  with members:
    - "machine learning based channel modeling for molecular mimo communications"
    - "modeling and simulation of molecular communication systems with a reversible adsorption receiver"
    - "chemical propagation pattern for molecular communications"
    - "a comprehensive survey of recent advancements in molecular communication"

Connected through hyperedge HE-3 (induced by source paper "impact of cooperation in flow induced diffusive mobile molecular communication"):
  with members:
    - "on flow induced diffusive mobile molecular communication first hitting time and performance analysis"
    - "arrival modeling and error analysis for molecular communication via diffusion with drift"
    - "relaying in diffusion based molecular communication"

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"
    - "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"
    - "capacity of diffusion based molecular communication with ligand receptors"

Connected through hyperedge HE-5 (induced by source paper "on medium chemical reaction in diffusion based molecular communication a two way relaying example"):
  with members:
    - "effective enzyme deployment for degradation of interference molecules in molecular communication"
    - "diffusive molecular communications with reactive signaling"
    - "physical layer network coding in molecular two way relay networks"
    - "information theory of molecular communication directions and challenges"
    - "over the air function computation in sensor networks"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "analysis and design of multi hop diffusion based molecular communication networks"
    - "on the capacity of point to point and multiple access molecular communications with ligand receptors"

Connected through hyperedge HE-6 (induced by source paper "channel estimation for diffusive molecular communications"):
  with members:
    - "reactive receiver modeling for diffusive molecular communication systems with molecule degradation"
    - "channel estimation techniques for diffusion based molecular communications"
    - "a comprehensive survey of recent advancements in molecular communication"
    - "bounds on distance estimation via diffusive molecular communication"
    - "effect of receptor density and size on signal reception in molecular communication via diffusion with an absorbing receiver"
    - "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"
    - "channel and noise models for nonlinear molecular communication systems"

Connected through hyperedge HE-7 (induced by source paper "physical layer network coding in molecular two way relay networks"):
  with members:
    - "a comprehensive survey of recent advancements in molecular communication"
    - "analysis and design of multi hop diffusion based molecular communication networks"
    - "improving receiver performance of diffusive molecular communication with enzymes"
    - "relaying in diffusion based molecular communication"
    - "design and analysis of wireless communication systems using diffusion based molecular communication among bacteria"
    - "physical layer network coding tutorial survey and beyond"

Connected through hyperedge HE-8 (induced by source paper "channel estimation techniques for diffusion based molecular communications"):
  with members:
    - "bounds on distance estimation via diffusive molecular communication"
    - "effect of receptor density and size on signal reception in molecular communication via diffusion with an absorbing receiver"
    - "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"
    - "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)