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: "multilevel coding schemes for compute and forward with flexible decoding"
  Abstract: We consider the design of coding schemes for the wireless two-way relaying channel when there is no channel state information at the transmitter. In the spirit of the compute-and-forward paradigm, we present a multilevel coding scheme that permits reliable computation (or, decoding) of a class of functions at the relay. The function to be computed (or decoded) is then chosen depending on the channel realization. We define such a class of functions which can be decoded at the relay using the proposed coding scheme and derive rates that are universally achievable over a set of channel gains when this class of functions is used at the relay. We develop our framework with general modulation formats in mind, but numerical results are presented for the case where each node transmits using 4-ary and 8-ary modulation schemes. Numerical results demonstrate that the flexibility afforded by our proposed scheme results in substantially higher rates than those achievable by always using a fixed function or considering only linear functions over higher order fields.

Connected through hyperedge HE-1 (induced by source paper "compute compress and forward exploiting asymmetry of wireless relay networks"):
  with members:
    - "asymmetric compute and forward with csit"
    - "mimo multiway relaying with clustered full data exchange signal space alignment and degrees of freedom"
    - "towards the asymptotic sum capacity of the mimo cellular two way relay channel"
    - "phase precoded compute and forward with partial feedback"
    - "phase precoding for the compute and forward protocol"
    - "mimo multiway relaying with pairwise data exchange a degrees of freedom perspective"
    - "degrees of freedom for the mimo multi way relay channel"
    - "an algebraic approach to physical layer network coding"

Connected through hyperedge HE-2 (induced by source paper "mobile lattice coded physical layer network coding with practical channel alignment"):
  with members:
    - "reliable physical layer network coding supporting real applications"
    - "phase precoded compute and forward with partial feedback"
    - "asynchronous convolutional coded physical layer network coding"
    - "scalable synchronization and reciprocity calibration for distributed multiuser mimo"
    - "network coded multiple access"
    - "airsync enabling distributed multiuser mimo with full spatial multiplexing"
    - "the degrees of freedom of compute and forward"
    - "physical layer network coding tutorial survey and beyond"

Connected through hyperedge HE-3 (induced by source paper "on the subtleties of q pam linear physical layer network coding"):
  with members:
    - "symbol and bit mapping optimization for physical layer network coding with pulse amplitude modulation"
    - "an algebraic approach to physical layer network coding"
    - "asynchronous physical layer network coding"
    - "multiple input multiple output two way relaying a space division approach"
    - "reliable 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-4 (induced by source paper "complex linear physical layer network coding"):
  with members:
    - "on the subtleties of q pam linear physical layer network coding"
    - "lattices over eisenstein integers for compute and forward"
    - "symbol and bit mapping optimization for physical layer network coding with pulse amplitude modulation"
    - "an algebraic approach to physical layer network coding"
    - "reliable 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"
    - "compute and forward harnessing interference through structured codes"

Connected through hyperedge HE-5 (induced by source paper "broadcast coded modulation multilevel and bit interleaved construction"):
  with members:
    - "symmetrical multilevel diversity coding and subset entropy inequalities"
    - "signal shaping for bicm at low snr"
    - "asymmetric multilevel diversity coding and asymmetric gaussian multiple descriptions"

Connected through hyperedge HE-6 (induced by source paper "adaptive compute and forward with lattice codes over algebraic integers"):
  with members:
    - "construction pi_a and pi_d lattices construction goodness and decoding algorithms"
    - "lattice index codes from algebraic number fields"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "multistage compute and forward with multilevel lattice codes based on product constructions"
    - "phase precoded compute and forward with partial feedback"
    - "lattices from codes for harnessing interference an overview and generalizations"
    - "lattices over eisenstein integers for compute and forward"
    - "semantically secure lattice codes for the gaussian wiretap channel"

Connected through hyperedge HE-7 (induced by source paper "multistage compute and forward with multilevel lattice codes based on product constructions"):
  with members:
    - "lattices over eisenstein integers for compute and forward"
    - "structured lattice codes for some two user gaussian networks with cognition coordination and two hops"
    - "connections between construction d and related constructions of lattices"
    - "an algebraic approach to physical layer network coding"
    - "a proof of threshold saturation for spatially coupled ldpc codes on bms channels"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "a simple proof for the existence of good pairs of nested lattices"

Connected through hyperedge HE-8 (induced by source paper "an algebraic approach to physical layer network coding"):
  with members:
    - "lattices over eisenstein integers for compute and forward"
    - "communication over finite chain ring matrix channels"
    - "compute and forward strategies for cooperative distributed antenna systems"
    - "wireless network information flow a deterministic approach"
    - "reliable physical layer network coding"
    - "the degrees of freedom of compute and forward"
    - "integer forcing linear receivers"
    - "multilevel coding schemes for compute and forward"

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)