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: "solving weighted and counting variants of connectivity problems parameterized by treewidth deterministically in single exponential time"
  Abstract: It is well known that many local graph problems, like Vertex Cover and Dominating Set, can be solved in 2^{O(tw)}|V|^{O(1)} time for graphs G=(V,E) with a given tree decomposition of width tw. However, for nonlocal problems, like the fundamental class of connectivity problems, for a long time we did not know how to do this faster than tw^{O(tw)}|V|^{O(1)}. Recently, Cygan et al. (FOCS 2011) presented Monte Carlo algorithms for a wide range of connectivity problems running in time $c^{tw}|V|^{O(1)} for a small constant c, e.g., for Hamiltonian Cycle and Steiner tree. Naturally, this raises the question whether randomization is necessary to achieve this runtime; furthermore, it is desirable to also solve counting and weighted versions (the latter without incurring a pseudo-polynomial cost in terms of the weights). #R##N#We present two new approaches rooted in linear algebra, based on matrix rank and determinants, which provide deterministic c^{tw}|V|^{O(1)} time algorithms, also for weighted and counting versions. For example, in this time we can solve the traveling salesman problem or count the number of Hamiltonian cycles. The rank-based ideas provide a rather general approach for speeding up even straightforward dynamic programming formulations by identifying "small" sets of representative partial solutions; we focus on the case of expressing connectivity via sets of partitions, but the essential ideas should have further applications. The determinant-based approach uses the matrix tree theorem for deriving closed formulas for counting versions of connectivity problems; we show how to evaluate those formulas via dynamic programming.

Connected through hyperedge HE-1 (induced by source paper "representative sets of product families"):
  with members:
    - "faster computation of representative families for uniform matroids with applications"
    - "finding and counting vertex colored subtrees"
    - "efficient computation of representative sets with applications in parameterized and exact algorithms"
    - "constrained multilinear detection for faster functional motif discovery"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "narrow sieves for parameterized paths and packings"

Connected through hyperedge HE-2 (induced by source paper "iterative plan construction for the workflow satisfiability problem"):
  with members:
    - "slightly superexponential parameterized problems"
    - "constraint expressions and workflow satisfiability"
    - "efficient computation of representative sets with applications in parameterized and exact algorithms"
    - "on the parameterized complexity and kernelization of the workflow satisfiability problem"
    - "fixed parameter tractability of workflow satisfiability in the presence of seniority constraints"
    - "arbac policy for a large multi national bank"

Connected through hyperedge HE-3 (induced by source paper "the role of planarity in connectivity problems parameterized by treewidth"):
  with members:
    - "slightly superexponential parameterized problems"
    - "efficient computation of representative sets with applications in parameterized and exact algorithms"
    - "dynamic programming for graphs on surfaces"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "problems parameterized by treewidth tractable in single exponential time a logical approach"
    - "surface split decompositions and subgraph isomorphism in graphs on surfaces"
    - "known algorithms on graphs of bounded treewidth are probably optimal"
    - "planar subgraph isomorphism revisited"

Connected through hyperedge HE-4 (induced by source paper "faster deterministic feedback vertex set"):
  with members:
    - "on problems as hard as cnf sat"
    - "on feedback vertex set new measure and new structures"
    - "fast hamiltonicity checking via bases of perfect matchings"
    - "directed subset feedback vertex set is fixed parameter tractable"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "subset feedback vertex set is fixed parameter tractable"
    - "randomized algorithms for the loop cutset problem"

Connected through hyperedge HE-5 (induced by source paper "fast hamiltonicity checking via bases of perfect matchings"):
  with members:
    - "on problems as hard as cnf sat"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "determinant sums for undirected hamiltonicity"
    - "known algorithms on graphs of bounded treewidth are probably optimal"
    - "trimmed moebius inversion and graphs of bounded degree"
    - "the traveling salesman problem for cubic graphs"

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.DS(Data Structures and Algorithms)