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: "an fpt 2 approximation for tree cut decomposition"
  Abstract: The tree-cut width of a graph is a graph parameter defined by Wollan (J Combin Theory, Ser B, 110:47–66, 2015) with the help of tree-cut decompositions. In certain cases, tree-cut width appears to be more adequate than treewidth as an invariant that, when bounded, can accelerate the resolution of intractable problems. While designing algorithms for problems with bounded tree-cut width, it is important to have a parametrically tractable way to compute the exact value of this parameter or, at least, some constant approximation of it. In this paper we give a parameterized 2-approximation algorithm for the computation of tree-cut width; for an input n-vertex graph G and an integer w, our algorithm either confirms that the tree-cut width of G is more than w or returns a tree-cut decomposition of G certifying that its tree-cut width is at most 2w, in time   2O(w2logw)⋅n2 . Prior to this work, no constructive parameterized algorithms, even approximated ones, existed for computing the tree-cut width of a graph. As a consequence of the Graph Minors series by Robertson and Seymour, only the existence of a decision algorithm was known.

Connected through hyperedge HE-1 (induced by source paper "the power of cut based parameters for computing edge disjoint paths"):
  with members:
    - "on structural parameterizations of the edge disjoint paths problem"
    - "new algorithms for maximum disjoint paths based on tree likeness"
    - "on routing disjoint paths in bounded treewidth graphs"

Connected through hyperedge HE-2 (induced by source paper "parameterized complexity of finding a spanning tree with minimum reload cost diameter"):
  with members:
    - "edge coloring with minimum reload changeover costs"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "a survey of green networking research"

Connected through hyperedge HE-3 (induced by source paper "minimum reload cost cycle cover in complete graphs"):
  with members:
    - "edge coloring with minimum reload changeover costs"
    - "parameterized complexity of the mincca problem on graphs of bounded decomposability"

Connected through hyperedge HE-4 (induced by source paper "strong immersion is a well quasi ordering for semi complete digraphs"):
  with members:
    - "linear kernels for edge deletion problems to immersion closed graph classes"

Connected through hyperedge HE-5 (induced by source paper "parameterized algorithms for min max multiway cut and list digraph homomorphism"):
  with members:
    - "space complexity of list h colouring a dichotomy"
    - "list h coloring a graph by removing few vertices"
    - "minimum bisection is fixed parameter tractable"
    - "designing fpt algorithms for cut problems using randomized contractions"
    - "minimum k way cut of bounded size is fixed parameter tractable"
    - "finding small separators in linear time via treewidth reduction"
    - "fixed parameter tractability of directed multiway cut parameterized by the size of the cutset"
    - "on multiway cut parameterized above lower bounds"

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)