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: "linear time nearest point algorithms for coxeter lattices"
  Abstract: The Coxeter lattices are a family of lattices containing many of the important lattices in low dimensions. This includes An, E 7 , E 8 and their duals An*, E 7*, and E 8*. We consider the problem of finding a nearest point in a Coxeter lattice. We describe two new algorithms, one with worst case arithmetic complexity O(nlogn) and the other with worst case complexity O(n) where n is the dimension of the lattice. We show that for the particular lattices An and An* the algorithms are equivalent to nearest point algorithms that already exist in the literature.

Connected through hyperedge HE-1 (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"
    - "efficient integer coefficient search 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"

Connected through hyperedge HE-2 (induced by source paper "compute and forward finding the best equation"):
  with members:
    - "simplified compute and forward and its performance analysis"
    - "finding short vectors in a lattice of voronoi s first kind"
    - "enumerative lattice algorithms in any norm via m ellipsoid coverings"
    - "compute and forward harnessing interference through structured codes"
    - "joint physical layer coding and network coding for bi directional relaying"

Connected through hyperedge HE-3 (induced by source paper "finding a closest point in a lattice of voronoi s first kind"):
  with members:
    - "on the closest vector problem with a distance guarantee"
    - "finding short vectors in a lattice of voronoi s first kind"
    - "an algorithm to compute the nearest point in the lattice a_ n"

Connected through hyperedge HE-4 (induced by source paper "on the error performance of the a_n lattices"):
  with members:
    - "an algorithm to compute the nearest point in the lattice a_ n"

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)