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: "the degrees of freedom of compute and forward"
  Abstract: We analyze the asymptotic behavior of compute-and-forward relay networks in the regime of high signal-to-noise ratios. We consider a section of such a network consisting of K transmitters and K relays. The aim of the relays is to reliably decode an invertible function of the messages sent by the transmitters. An upper bound on the capacity of this system can be obtained by allowing full cooperation among the transmitters and among the relays, transforming the network into a K times K multiple-input multiple-output (MIMO) channel. The number of degrees of freedom of compute-and-forward is hence at most K. In this paper, we analyze the degrees of freedom achieved by the lattice coding implementation of compute-and-forward proposed recently by Nazer and Gastpar. We show that this lattice implementation achieves at most 2/(1+1/K)\leq 2 degrees of freedom, thus exhibiting a very different asymptotic behavior than the MIMO upper bound. This raises the question if this gap of the lattice implementation to the MIMO upper bound is inherent to compute-and-forward in general. We answer this question in the negative by proposing a novel compute-and-forward implementation achieving K degrees of freedom.

Connected through hyperedge HE-1 (induced by source paper "towards an algebraic network information theory simultaneous joint typicality decoding"):
  with members:
    - "homologous codes for multiple access channels"
    - "gaussian multiple access via compute and forward"
    - "polynomially solvable instances of the shortest and closest vector problems with applications to compute and forward"
    - "an achievable rate region for the three user interference channel based on coset codes"
    - "equivalence of additive combinatorial linear inequalities for shannon entropy and differential entropy"
    - "expanding the compute and forward framework unequal powers signal levels and multiple linear combinations"
    - "secure compute and forward in a bidirectional relay"
    - "distributed decode forward for relay networks"

Connected through hyperedge HE-2 (induced by source paper "secure modulo sum via multiple access channel"):
  with members:
    - "secure computation and forward with linear codes"
    - "secure physical layer network coding versus secure network coding"
    - "physical layer network coding a random coding error exponent perspective"
    - "secure multiplex coding with dependent and non uniform multiple messages"
    - "on secure computation over the binary modulo 2 adder multiple access wiretap channel"
    - "expanding the compute and forward framework unequal powers signal levels and multiple linear combinations"
    - "secure compute and forward in a bidirectional relay"
    - "adaptive compute and forward with lattice codes over algebraic integers"

Connected through hyperedge HE-3 (induced by source paper "ring compute and forward over block fading channels"):
  with members:
    - "boosted kz and lll algorithms"
    - "polynomially solvable instances of the shortest and closest vector problems with applications to compute and forward"
    - "algebraic lattice codes achieve the capacity of the compound block fading channel"
    - "universal lattice codes for mimo channels"
    - "adaptive compute and forward with lattice codes over algebraic integers"
    - "construction a of lattices over number fields and block fading wiretap coding"
    - "lattices over eisenstein integers for compute and forward"
    - "an algebraic approach to physical layer network coding"

Connected through hyperedge HE-4 (induced by source paper "generalized compute compress and forward"):
  with members:
    - "expanding the compute and forward framework unequal powers signal levels and multiple linear combinations"
    - "compute compress and forward exploiting asymmetry of wireless relay networks"
    - "lattice codes for many to one interference channels with and without cognitive messages"
    - "asymmetric compute and forward with csit"
    - "optimized backhaul compression for uplink cloud radio access network"
    - "successive integer forcing and its sum rate optimality"
    - "an algebraic approach to physical layer network coding"
    - "integer forcing mimo linear receivers based on lattice reduction"

Connected through hyperedge HE-5 (induced by source paper "expanding the compute and forward framework unequal powers signal levels and multiple linear combinations"):
  with members:
    - "an achievable rate region for the three user interference channel based on coset codes"
    - "a joint typicality approach to algebraic network information theory"
    - "secure compute and forward in a bidirectional relay"
    - "secure degrees of freedom of one hop wireless networks"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "multiple access via compute and forward"
    - "lattices over eisenstein integers for compute and forward"
    - "uplink downlink duality for integer forcing"

Connected through hyperedge HE-6 (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"
    - "multilevel coding schemes for compute and forward with flexible decoding"
    - "degrees of freedom for the mimo multi way relay channel"

Connected through hyperedge HE-7 (induced by source paper "lossy compression for compute and forward in limited backhaul uplink multicell processing"):
  with members:
    - "expanding the compute and forward framework unequal powers signal levels and multiple linear combinations"
    - "compute compress and forward exploiting asymmetry of wireless relay networks"
    - "optimized backhaul compression for uplink cloud radio access network"
    - "compute and forward on a multi user multi relay channel"
    - "successive integer forcing and its sum rate optimality"
    - "multihop backhaul compression for the uplink of cloud radio access networks"
    - "compute and forward on a multiaccess relay channel coding and symmetric rate optimization"
    - "uplink multicell processing with limited backhaul via per base station successive interference cancellation"

Connected through hyperedge HE-8 (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"
    - "multilevel coding schemes for compute and forward with flexible decoding"
    - "scalable synchronization and reciprocity calibration for distributed multiuser mimo"
    - "network coded multiple access"
    - "airsync enabling distributed multiuser mimo with full spatial multiplexing"
    - "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)