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: "polynomially solvable instances of the shortest and closest vector problems with applications to compute and forward"
  Abstract: A particular instance of the shortest vector problem (SVP) appears in the context of compute-and-forward. Despite the NP-hardness of the SVP, we will show that this certain instance can be solved in complexity order    $O(n\psi \log (n\psi ))$   , where    $\psi = \sqrt {P\|{\text{h}}\|^{2}+1}$    depends on the transmission power and the norm of the channel vector. We will then extend our results to integer-forcing and finally introduce a more general class of lattices for which the SVP and the closest vector problem can be approximated within a constant factor.

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"
    - "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"
    - "secure degrees of freedom of one hop wireless networks"

Connected through hyperedge HE-2 (induced by source paper "ring compute and forward over block fading channels"):
  with members:
    - "boosted kz and lll algorithms"
    - "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"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"

Connected through hyperedge HE-3 (induced by source paper "low complexity coefficient selection algorithms for compute and forward"):
  with members:
    - "efficient integer coefficient search for 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-4 (induced by source paper "integer forcing effective snr distribution and practical block based schemes"):
  with members:
    - "successive integer forcing and its sum rate optimality"
    - "precoded integer forcing universally achieves the mimo capacity to within a constant gap"

Connected through hyperedge HE-5 (induced by source paper "efficient integer coefficient search for compute and forward"):
  with members:
    - "a linearithmic time algorithm for a shortest vector problem in compute and forward design"
    - "adaptive compute and forward with lattice codes over algebraic integers"
    - "compute and forward finding the best equation"
    - "phase precoding for the compute and forward protocol"
    - "an algebraic approach to physical layer network coding"
    - "integer forcing mimo linear receivers based on lattice reduction"
    - "integer forcing linear receivers"
    - "compute and forward harnessing interference through structured codes"

Connected through hyperedge HE-6 (induced by source paper "decoding in compute and forward relaying real lattices and the flatness of lattice sums"):
  with members:
    - "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"
    - "the compute and forward protocol implementation and practical aspects"
    - "compute and forward harnessing interference through structured codes"

Connected through hyperedge HE-7 (induced by source paper "a linearithmic time algorithm for a shortest vector problem in compute and forward design"):
  with members:
    - "compute and forward finding the best equation"
    - "compute and forward protocol design based on improved sphere decoding"
    - "compute and forward harnessing interference through structured codes"

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)