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: "joint ldpc and physical layer network coding for asynchronous bi directional relaying"
  Abstract: In practical asynchronous bi-directional relaying, symbols transmitted by two sources cannot arrive at the relay with perfect frame and symbol alignments and the asynchronous multiple-access channel (MAC) should be seriously considered. Recently, Lu et al. proposed a Tanner-graph representation of the symbol-asynchronous MAC with rectangular-pulse shaping and further developed the message-passing algorithm for optimal decoding of the symbol-asynchronous physical-layer network coding. In this paper, we present a general channel model for the asynchronous MAC with arbitrary pulse-shaping. Then, the Bahl, Cocke, Jelinek, and Raviv (BCJR) algorithm is developed for optimal decoding of the asynchronous MAC channel. For Low-Density Parity-Check (LDPC)-coded BPSK signalling over the symbol-asynchronous MAC, we present a formal log-domain generalized sum-product-algorithm (Log-G-SPA) for efficient decoding. Furthermore, we propose to use cyclic codes for combating the frame-asynchronism and the resolution of the relative delay inherent in this approach can be achieved by employing the simple cyclic-redundancy-check (CRC) coding technique. Simulation results demonstrate the effectiveness of the proposed approach.

Connected through hyperedge HE-1 (induced by source paper "asynchronous physical layer network coding symbol misalignment estimation and its effect on decoding"):
  with members:
    - "asynchronous physical layer network coding"
    - "reliable physical layer network coding"
    - "physical layer network coding tutorial survey and beyond"

Connected through hyperedge HE-2 (induced by source paper "channel estimation for two way relay networks in the presence of synchronization errors"):
  with members:
    - "asynchronous physical layer network coding"
    - "physical layer network coding"

Connected through hyperedge HE-3 (induced by source paper "asynchronous physical layer network coding with quasi cyclic codes"):
  with members:
    - "multistage compute and forward with multilevel lattice codes based on product constructions"
    - "asynchronous convolutional coded physical layer network coding"
    - "an algebraic approach to physical layer network coding"
    - "asynchronous physical layer network coding"
    - "reliable physical layer network coding"
    - "integer forcing linear receivers"
    - "cyclic coded integer forcing equalization"
    - "channel coding and decoding in a relay system operated with physical layer network coding"

Connected through hyperedge HE-4 (induced by source paper "asynchronous convolutional coded physical layer network coding"):
  with members:
    - "a hierarchical modulation for upgrading digital broadcast systems"
    - "physical layer network coding for two way relaying with qam"
    - "asynchronous physical layer network coding"
    - "optimal decoding algorithm for asynchronous physical layer network coding"
    - "physical layer network coding tutorial survey and beyond"
    - "implementation of physical layer network coding"
    - "channel coding and decoding in a relay system operated with physical layer network coding"

Connected through hyperedge HE-5 (induced by source paper "an iterative noncoherent relay receiver for the two way relay channel"):
  with members:
    - "channel coding and decoding in a relay system operated with physical layer network coding"
    - "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)