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: "physical layer network coding in molecular two way relay networks"
  Abstract: In traditional wireless networks, physical layer network coding (PNC) exploits the inverse additivity property of broadcast signals in the medium, an idea which is not directly applicable to molecular networks. In this paper, to make the natural XOR operation possible at the physical layer, we exploit the reaction of different molecule types and we propose a PNC scheme in diffusion-based molecular relay networks. For comparison, we consider the straightforward network coding (SNC) scheme in molecular networks. Assuming the ligandreceptor binding process at the receivers, we investigate the error performance of both schemes. It is observed that in addition to the simplicity of the proposed scheme, it improves the performance compared to the SNC scheme.

Connected through hyperedge HE-1 (induced by source paper "diffusion based molecular communication principle key technologies and challenges"):
  with members:
    - "capacity limits of diffusion based molecular timing channels"
    - "on the capacity of level and type modulation in molecular communication with ligand receptors"
    - "amplify and forward relaying in two hop diffusion based molecular communication networks"
    - "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-2 (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"
    - "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"
    - "a markovian approach to the optimal demodulation of diffusion based molecular communication networks"

Connected through hyperedge HE-3 (induced by source paper "two time slot bidirectional relaying in molecular communication"):
  with members:
    - "physical network coding in two way wireless relay channels"
    - "physical layer network coding"

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)