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 "hitting long directed cycles is fixed parameter tractable"):
  Abstract: In the Directed Long Cycle Hitting Set} problem we are given a directed graph $G$, and the task is to find a set $S$ of at most $k$ vertices/arcs such that $G-S$ has no cycle of length longer than $\ell$. We show that the problem can be solved in time $2^{\mathcal O(\ell k^3\log k + k^5\log k\log\ell)}\cdot n^{\mathcal O(1)}$, that is, it is fixed-parameter tractable (FPT) parameterized by $k$ and $\ell$. This algorithm can be seen as a far-reaching generalization of the fixed-parameter tractability of {\sc Mixed Graph Feedback Vertex Set} [Bonsma and Lokshtanov WADS 2011], which is already a common generalization of the fixed-parameter tractability of (undirected) {\sc Feedback Vertex Set} and the {\sc Directed Feedback Vertex Set} problems, two classic results in parameterized algorithms. The algorithm requires significant insights into the structure of graphs without directed cycles length longer than $\ell$ and can be seen as an exact version of the approximation algorithm following from the Erd{ő}s-P{o}sa property for long cycles in directed graphs proved by Kreutzer and Kawarabayashi [STOC 2015].

Includes members:
  Member "reducing cmso model checking to highly connected graphs":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "randomized contractions meet lean decompositions")
  Member "dag width and circumference of digraphs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "parameterized algorithms for generalizations of directed feedback vertex set")
  Member "on feedback vertex set new measure and new structures":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "detecting feedback vertex sets of size k in o star 2 7 k time")
  Member "a randomized algorithm for long directed cycle":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "going far from degeneracy")
  Member "representative sets of product families":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "solving connectivity problems parameterized by treedepth in single exponential time and polynomial space")
  Member "representative families a unified tradeoff based approach":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "faster deterministic parameterized algorithm for k path")
  Member "the directed grid theorem":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a relaxation of the directed disjoint paths problem a global congestion metric helps")
  Member "faster deterministic feedback vertex set":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "detecting feedback vertex sets of size k in o star 2 7 k time")

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)