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: "kernels for below upper bound parameterizations of the hitting set and directed dominating set problems"
  Abstract: In the {\sc Hitting Set} problem, we are given a collection $\cal F$ of subsets of a ground set $V$ and an integer $p$, and asked whether $V$ has a $p$-element subset that intersects each set in $\cal F$. We consider two parameterizations of {\sc Hitting Set} below tight upper bounds: $p=m-k$ and $p=n-k$. In both cases $k$ is the parameter. We prove that the first parameterization is fixed-parameter tractable, but has no polynomial kernel unless coNP$\subseteq$NP/poly. The second parameterization is W[1]-complete, but the introduction of an additional parameter, the degeneracy of the hypergraph $H=(V,{\cal F})$, makes the problem not only fixed-parameter tractable, but also one with a linear kernel. Here the degeneracy of $H=(V,{\cal F})$ is the minimum integer $d$ such that for each $X\subset V$ the hypergraph with vertex set $V\setminus X$ and edge set containing all edges of $\cal F$ without vertices in $X$, has a vertex of degree at most $d.$ #R##N#In {\sc Nonblocker} ({\sc Directed Nonblocker}), we are given an undirected graph (a directed graph) $G$ on $n$ vertices and an integer $k$, and asked whether $G$ has a set $X$ of $n-k$ vertices such that for each vertex $y\not\in X$ there is an edge (arc) from a vertex in $X$ to $y$. {\sc Nonblocker} can be viewed as a special case of {\sc Directed Nonblocker} (replace an undirected graph by a symmetric digraph). Dehne et al. (Proc. SOFSEM 2006) proved that {\sc Nonblocker} has a linear-order kernel. We obtain a linear-order kernel for {\sc Directed Nonblocker}.

Connected through hyperedge HE-1 (induced by source paper "alternative parameterizations of metric dimension"):
  with members:
    - "identification location domination and metric dimension on interval and permutation graphs ii algorithms and complexity"
    - "a polynomial turing kernel for weighted independent set in bull free graphs"
    - "metric dimension of bounded tree length graphs"
    - "metric dimension parameterized by max leaf number"
    - "characterizing the easy to find subgraphs from the viewpoint of polynomial time algorithms kernels and turing kernels"
    - "metric dimension for gabriel unit disk graphs is np complete"
    - "kernelization lower bounds by cross composition"
    - "non existence of polynomial kernels for the test cover problem"

Connected through hyperedge HE-2 (induced by source paper "dual parameterization of weighted coloring"):
  with members:
    - "ruling out fpt algorithms for weighted coloring on forests"
    - "normal helly circular arc graphs and its subclasses"
    - "kernelization lower bounds by cross composition"

Connected through hyperedge HE-3 (induced by source paper "contraction and deletion blockers for perfect graphs and h free graphs"):
  with members:
    - "critical vertices and edges in h free graphs"
    - "hadwiger number of graphs with small chordality"
    - "obtaining a bipartite graph by contracting few edges"

Connected through hyperedge HE-4 (induced by source paper "parameterized complexity of secluded connectivity problems"):
  with members:
    - "kernelization lower bounds by cross composition"
    - "secluded connectivity problems"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "treewidth computation and extremal combinatorics"

Connected through hyperedge HE-5 (induced by source paper "fixed parameter tractability of satisfying beyond the number of variables"):
  with members:
    - "a new bound for 3 satisfiable maxsat and its algorithmic application"
    - "a new lower bound on the maximum number of satisfied clauses in max sat and its algorithmic application"
    - "solving max r sat above a tight lower bound"

Connected through hyperedge HE-6 (induced by source paper "parameterized study of the test cover problem"):
  with members:
    - "simultaneously satisfying linear equations over mathbb f _2 maxlin2 and max r lin2 parameterized above average"
    - "all ternary permutation constraint satisfaction problems parameterized above average have kernels with quadratic numbers of variables"
    - "known algorithms on graphs of bounded treewidth are probably optimal"
    - "a probabilistic approach to problems parameterized above or below tight bounds"
    - "solving max r sat above a tight lower bound"

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)