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: "cutwidth obstructions and algorithmic aspects"
  Abstract: Cutwidth is one of the classic layout parameters for graphs. It measures how well one can order the vertices of a graph in a linear manner, so that the maximum number of edges between any prefix and its complement suffix is minimized. As graphs of cutwidth at most $k$ are closed under taking immersions, the results of Robertson and Seymour imply that there is a finite list of minimal immersion obstructions for admitting a cut layout of width at most $k$. We prove that every minimal immersion obstruction for cutwidth at most $k$ has size at most $2^{O(k^3\log k)}$. For our proof, we introduce the concept of a lean ordering that can be seen as the analogue of lean decompositions defined by Thomas in [A Menger-like property of tree-width: The finite case, J. Comb. Theory, Ser. B, 48(1):67--76, 1990] for the case of treewidth. As an interesting algorithmic byproduct, we design a new fixed-parameter algorithm for computing the cutwidth of a graph that runs in time $2^{O(k^2\log k)}\cdot n$, where $k$ is the optimum width and $n$ is the number of vertices. While being slower by a $\log k$-factor in the exponent than the fastest known algorithm, given by Thilikos, Bodlaender, and Serna in [Cutwidth I: A linear time fixed parameter algorithm, J. Algorithms, 56(1):1--24, 2005] and [Cutwidth II: Algorithms for partial $w$-trees of bounded degree, J. Algorithms, 56(1):25--49, 2005], our algorithm has the advantage of being simpler and self-contained; arguably, it explains better the combinatorics of optimum-width layouts.

Connected through hyperedge HE-1 (induced by source paper "computing the chromatic number using graph decompositions via matrix rank"):
  with members:
    - "fine grained parameterized complexity analysis of graph coloring problems"
    - "competitive algorithms for generalized k server in uniform metrics"
    - "coloring graphs having few colorings over path decompositions"
    - "between treewidth and clique width"
    - "parameterized algorithms for modular width"
    - "speeding up dynamic programming with representative sets an experimental evaluation of algorithms for steiner tree on tree decompositions"
    - "data reduction for graph coloring problems"
    - "fast hamiltonicity checking via bases of perfect matchings"

Connected through hyperedge HE-2 (induced by source paper "exploring the complexity of layout parameters in tournaments and semi complete digraphs"):
  with members:
    - "a polynomial turing kernel for weighted independent set in bull free graphs"
    - "lower bounds for the parameterized complexity of minimum fill in and other completion problems"
    - "subexponential parameterized algorithm for computing the cutwidth of a semi complete digraph"
    - "a polynomial kernel for proper interval vertex deletion"
    - "computing cutwidth and pathwidth of semi complete digraphs via degree orderings"
    - "faster fast feedback arc set in tournaments"

Connected through hyperedge HE-3 (induced by source paper "optimizing tree decompositions in mso"):
  with members:
    - "constructive algorithm for path width of matroids"
    - "computing tree depth faster than 2 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.DS(Data Structures and Algorithms)