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: "asynchronous physical layer network coding with quasi cyclic codes"
  Abstract: Communication in the presence of bounded timing asynchronism which is known to the receiver but cannot be easily compensated is studied. Examples of such situations include point-to-point communication over inter-symbol interference (ISI) channels and asynchronous wireless networks. In these scenarios, although the receiver may know all the delays, it is often not be an easy task for the receiver to compensate the delays as the signals are mixed together. A novel framework called interleave/deinterleave transform (IDT) is proposed to deal with this problem. It is shown that the IDT allows one to design the delays so that quasi-cyclic (QC) codes with a proper shifting constraint can be used accordingly. When used in conjunction with QC codes, IDT provides significantly better performance than existing schemes relying solely on cyclic codes. Two instances of asynchronous physical-layer network coding, namely the integer-forcing equalization for ISI channels and asynchronous compute-and-forward, are then studied. For integer-forcing equalization, the proposed scheme provides improved performance over using cyclic codes. For asynchronous compute-and-forward, the proposed scheme shows that there is no loss in the achievable information due to delays which are integer multiples of the symbol duration. Further, the proposed approach shows that delays introduced by the channel can sometimes be exploited to obtain higher information rates than those obtainable in the synchronous case. The proposed IDT can be thought of as a generalization of the interleaving/deinterleaving idea proposed by Wang et al. which allows the use of QC codes thereby substantially increasing the design space.

Connected through hyperedge HE-1 (induced by source paper "physical layer network coding a random coding error exponent perspective"):
  with members:
    - "code design for short blocks a survey"
    - "towards massive ultra reliable and low latency wireless the art of sending short packets"
    - "mismatched decoding error exponents second order rates and saddlepoint approximations"
    - "asynchronous physical layer network coding"
    - "physical layer network coding tutorial survey and beyond"
    - "channel coding and decoding in a relay system operated with physical layer network coding"
    - "physical network coding in two way wireless relay channels"

Connected through hyperedge HE-2 (induced by source paper "robust successive compute and forward over multi user multi relay networks"):
  with members:
    - "full diversity unitary precoded integer forcing"
    - "compute and forward finding the best equation"
    - "phase precoded compute and forward with partial feedback"
    - "lattices from codes for harnessing interference an overview and generalizations"
    - "compute and forward two way relaying"
    - "compute and forward on a multi user multi relay channel"
    - "successive integer forcing and its sum rate optimality"
    - "convolutional network coded cooperation in multi source networks with a multi antenna relay"

Connected through hyperedge HE-3 (induced by source paper "performance analysis of csma with multi packet reception the inhomogeneous case"):
  with members:
    - "expanding the compute and forward framework unequal powers signal levels and multiple linear combinations"
    - "multiple access via compute and forward"
    - "sign compute resolve for random access"
    - "successive integer forcing and its sum rate optimality"
    - "an algebraic approach to physical layer network coding"
    - "compute and forward on a multiaccess relay channel coding and symmetric rate optimization"
    - "random access with physical layer network coding"
    - "compute and forward harnessing interference through structured codes"

Connected through hyperedge HE-4 (induced by source paper "arq for physical layer network coding"):
  with members:
    - "network codes for real time applications"
    - "joint channel estimation and channel decoding in physical layer network coding systems an em bp factor graph framework"
    - "asynchronous convolutional coded physical layer network coding"
    - "building blocks of physical layer network coding"
    - "distributed mac protocol supporting physical layer network coding"
    - "asynchronous physical layer network coding"
    - "reliable physical layer network coding"
    - "physical layer network coding tutorial survey and beyond"

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)