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 compute and forward protocol implementation and practical aspects"
  Abstract: In a recent work, Nazer and Gastpar proposed the Compute-and-Forward strategy as a physical-layer network coding scheme. They described a code structure based on nested lattices whose algebraic structure makes the scheme reliable and efficient. In this work, we consider the implementation of their scheme for real Gaussian channels and one dimensional lattices. We relate the maximization of the transmission rate to the lattice shortest vector problem. We explicit, in this case, the maximum likelihood criterion and show that it can be implemented by using an Inhomogeneous Diophantine Approximation algorithm.

Connected through hyperedge HE-1 (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-2 (induced by source paper "lattice codes for physical layer communications"):
  with members:
    - "well rounded lattices for reliability and security in rayleigh fading siso channels"
    - "bounds on fast decodability of space time block codes skew hermitian matrices and azumaya algebras"
    - "lattice code design for the rayleigh fading wiretap channel"
    - "compute and forward harnessing interference through structured codes"
    - "on fast decodable space time block codes"

Connected through hyperedge HE-3 (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-4 (induced by source paper "decoding in compute and forward relaying real lattices and the flatness of lattice sums"):
  with members:
    - "polynomially solvable instances of the shortest and closest vector problems with applications to compute and forward"
    - "adaptive compute and forward with lattice codes over algebraic integers"
    - "a low complexity message recovery method for compute and forward relaying"
    - "semantically secure lattice codes for the gaussian wiretap channel"
    - "an algebraic approach to physical layer network coding"
    - "compute and forward harnessing interference through structured codes"

Connected through hyperedge HE-5 (induced by source paper "throughput optimized multi source cooperative networks with compute and forward"):
  with members:
    - "reliable physical layer network coding"
    - "compute and forward harnessing interference through structured codes"
    - "joint physical layer coding and network coding for bi directional relaying"
    - "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)