human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "fully polynomial fpt algorithms for some classes of bounded clique width graphs"):
  Abstract: Parameterized complexity theory has enabled a refined classification of the difficulty of NP-hard optimization problems on graphs with respect to key structural properties, and so to a better understanding of their true difficulties. More recently, hardness results for problems in P were achieved using reasonable complexity theoretic assumptions such as: Strong Exponential Time Hypothesis (SETH), 3SUM and All-Pairs Shortest-Paths (APSP). According to these assumptions, many graph theoretic problems do not admit truly subquadratic algorithms, nor even truly subcubic algorithms (Williams and Williams, FOCS 2010 and Abboud, Grandoni, Williams, SODA 2015). A central technique used to tackle the difficulty of the above mentioned problems is fixed-parameter algorithms for polynomial-time problems with polynomial dependency in the fixed parameter (P-FPT). This technique was introduced by Abboud, Williams and Wang in SODA 2016 and continued by Husfeldt (IPEC 2016) and Fomin et al. (SODA 2017), using the treewidth as a parameter. Applying this technique to clique-width, another important graph parameter, remained to be done. In this paper we study several graph theoretic problems for which hardness results exist such as cycle problems (triangle detection, triangle counting, girth, diameter), distance problems (diameter, eccentricities, Gromov hyperbolicity, betweenness centrality) and maximum matching. We provide hardness results and fully polynomial FPT algorithms, using clique-width and some of its upper-bounds as parameters (split-width, modular-width and $P\_4$-sparseness). We believe that our most important result is an ${\cal O}(k^4 \cdot n + m)$-time algorithm for computing a maximum matching where $k$ is either the modular-width or the $P\_4$-sparseness. The latter generalizes many algorithms that have been introduced so far for specific subclasses such as cographs, $P\_4$-lite graphs, $P\_4$-extendible graphs and $P\_4$-tidy graphs. Our algorithms are based on preprocessing methods using modular decomposition, split decomposition and primeval decomposition. Thus they can also be generalized to some graph classes with unbounded clique-width.

Includes members:
  Member "the use of a pruned modular decomposition for maximum matching algorithms on some graph classes":
    also connected through other hyperedges:
      (none)
  Member "efficient and adaptive parameterized algorithms on modular decompositions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "efficient parameterized algorithms for computing all pairs shortest paths")
  Member "parameterized aspects of triangle enumeration":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on adaptive algorithms for maximum matching")
  Member "on the power of tree depth for fully polynomial fpt algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on adaptive algorithms for maximum matching")
  Member "when can graph hyperbolicity be computed in linear time":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "fast approximation and exact computation of negative curvature parameters of graphs")
  Member "the power of data reduction for matching":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "efficient and adaptive parameterized algorithms on modular decompositions")
  Member "tight hardness results for distance and centrality problems in constant degree graphs":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "diameter computation on h minor free graphs and graphs of bounded distance vc dimension")
  Member "fully polynomial time parameterized computations for graphs and matrices of low treewidth":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "minimum cuts in surface graphs")

Question: Please tell me which class the source paper 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)