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 "a note on finding dual feedback vertex set"):
  Abstract: For an edge-bicolored graph $G$ where each edge is colored either red or blue, a vertex set $S$ is a dual feedback vertex set if $S$ hits all blue cycles and red cycles of $G$. In this paper, we show that a dual feedback vertex set of size at most $k$ can be found in time $O^*(c_1^k)$ and all minimal dual feedback vertex set of size at most $k$ can be enumerated in time $O^*(c_2^{k^2 + k})$ by compact representations for constants $c_1$ and $c_2$.

Includes members:
  Member "on feedback vertex set new measure and new structures":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "hitting long directed cycles is fixed parameter tractable")
  Member "half integrality lp branching and fpt algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "parameterized algorithms for milps with small treedepth")
  Member "faster deterministic feedback vertex set":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "hitting long directed cycles is fixed parameter tractable")
  Member "on group feedback vertex set parameterized by the size of the cutset":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "an improved fpt algorithm for independent feedback vertex set")

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)