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: "efficient integer coefficient search for compute and forward"
  Abstract: Integer coefficient selection is an important decoding step in the implementation of compute-and-forward (C-F) relaying scheme. Choosing the optimal integer coefficients in C-F has been shown to be a shortest vector problem, which is known to be NP-hard in its general form. Exhaustive search of the integer coefficients is only feasible in complexity for small number of users while approximation algorithms, such as Lenstra–Lenstra–Lovasz lattice reduction algorithm, only find a vector within an exponential factor of the shortest vector. An optimal deterministic algorithm was proposed for C-F by Sahraei and Gastpar specifically for the real valued channel case. In this paper, we adapt their idea to the complex valued channel and propose an efficient search algorithm to find the optimal integer coefficient vectors over the ring of Gaussian integers and the ring of Eisenstein integers. A second algorithm is then proposed that generalizes our search algorithm to the integer-forcing multiple-input multiple-output (MIMO) C-F receiver. Performance and efficiency of the proposed algorithms are evaluated through simulations and theoretical analysis.

Connected through hyperedge HE-1 (induced by source paper "steepest gradient based orthogonal precoder for integer forcing mimo"):
  with members:
    - "boosted kz and lll algorithms"
    - "encoding and indexing of lattice codes"
    - "an efficient optimal algorithm for the successive minima problem"
    - "full diversity unitary precoded integer forcing"
    - "precoded integer forcing universally achieves the mimo capacity to within a constant gap"
    - "integer forcing mimo linear receivers based on lattice reduction"
    - "integer forcing linear receivers"
    - "mimo precoding with x and y codes"

Connected through hyperedge HE-2 (induced by source paper "low complexity coefficient selection algorithms for compute and forward"):
  with members:
    - "polynomially solvable instances of the shortest and closest vector problems with applications to compute and forward"
    - "cell free massive mimo versus small cells"
    - "compute and forward in cell free massive mimo great performance with low backhaul load"
    - "a linearithmic time algorithm for a shortest vector problem in compute and forward design"
    - "cell free massive mimo uniformly great service for everyone"
    - "adaptive compute and forward with lattice codes over algebraic integers"
    - "a multilevel framework for lattice network coding"
    - "compute and forward finding the best equation"

Connected through hyperedge HE-3 (induced by source paper "polynomially solvable instances of the shortest and closest vector problems with applications to compute and forward"):
  with members:
    - "low complexity coefficient selection algorithms for compute and forward"
    - "a linearithmic time algorithm for a shortest vector problem in compute and forward design"
    - "a low complexity message recovery method for compute and forward relaying"
    - "asymmetric compute and forward with csit"
    - "an efficient algorithm for optimally solving a shortest vector problem in compute and forward protocol design"
    - "compute and forward protocol design based on improved sphere decoding"
    - "simplified compute and forward and its performance analysis"
    - "integer forcing mimo linear receivers based on lattice reduction"

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)