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: "fast clique minor generation in chimera qubit connectivity graphs"
  Abstract: The current generation of D-Wave quantum annealing processor is designed to minimize the energy of an Ising spin configuration whose pairwise interactions lie on the edges of a {\em Chimera} graph $\mathcal C_{M,N,L}$. In order to solve an Ising spin problem with arbitrary pairwise interaction structure, the corresponding graph must be minor-embedded into a Chimera graph. We define a combinatorial class of {\em native clique minors} in Chimera graphs with vertex images of uniform, near minimal size, and provide a polynomial-time algorithm that finds a maximum native clique minor in a given induced subgraph of a Chimera graph. These minors allow improvement over recent work and have immediate practical applications in the field of quantum annealing.

Connected through hyperedge HE-1 (induced by source paper "a quantum computational approach to correspondence problems on point sets"):
  with members:
    - "quantum algorithm implementations for beginners"
    - "nonnegative binary matrix factorization with a d wave quantum annealer"
    - "point set registration coherent point drift"

Connected through hyperedge HE-2 (induced by source paper "performance of a quantum annealer for ising ground state computations on chimera graphs"):
  with members:
    - "detecting multiple communities using quantum annealing on the d wave system"
    - "a fixed parameter algorithm for the max cut problem on embedded 1 planar graphs"
    - "a ptas for the classical ising spin glass problem on the chimera graph structure"

Connected through hyperedge HE-3 (induced by source paper "leveraging quantum annealing for large mimo processing in centralized radio access networks"):
  with members:
    - "quadratic unconstrained binary optimization problem preprocessing theory and empirical analysis"
    - "multiple query optimization on the d wave 2x adiabatic quantum computer"

Connected through hyperedge HE-4 (induced by source paper "template based minor embedding for adiabatic quantum optimization"):
  with members:
    - "systematic and deterministic graph minor embedding for cartesian products of graphs"

Connected through hyperedge HE-5 (induced by source paper "solving sat and maxsat with a quantum annealer foundations encodings and preliminary results"):
  with members:
    - "performing fully parallel constraint logic programming on a quantum annealer"
    - "systematic and deterministic graph minor embedding for cartesian products of graphs"
    - "multiple query optimization on the d wave 2x adiabatic quantum computer"
    - "optimization modulo theories with linear rational costs"
    - "practical graph isomorphism ii"

Connected through hyperedge HE-6 (induced by source paper "nonnegative binary matrix factorization with a d wave quantum annealer"):
  with members:
    - "image set based collaborative representation for face recognition"

Connected through hyperedge HE-7 (induced by source paper "quadratic unconstrained binary optimization problem preprocessing theory and empirical analysis"):
  with members:
    - "building an iterative heuristic solver for a quantum annealer"

Connected through hyperedge HE-8 (induced by source paper "logical and inequality implications for reducing the size and complexity of quadratic unconstrained binary optimization problems"):
  with members:
    - "building an iterative heuristic solver for a quantum annealer"

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.DM(Discrete Mathematics)