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 multivariate framework for weighted fpt algorithms"):
  Abstract: We introduce a novel multivariate approach for solving weighted parameterized problems. In our model, given an instance of size $n$ of a minimization (maximization) problem, and a parameter $W \geq 1$, we seek a solution of weight at most (or at least) $W$. We use our general framework to obtain efficient algorithms for such fundamental graph problems as Vertex Cover, 3-Hitting Set, Edge Dominating Set and Max Internal Out-Branching. The best known algorithms for these problems admit running times of the form $c^W n^{O(1)}$, for some constant $c>1$. We improve these running times to $c^s n^{O(1)}$, where $s\leq W$ is the minimum size of a solution of weight at most (at least) $W$. If no such solution exists, $s=\min\{W,m\}$, where $m$ is the maximum size of a solution. Clearly, $s$ can be substantially smaller than $W$. In particular, the running times of our algorithms are (almost) the same as the best known $O^*$ running times for the unweighted variants. Thus, we solve the weighted versions of #R##N#* Vertex Cover in $1.381^s n^{O(1)}$ time and $n^{O(1)}$ space. #R##N#* 3-Hitting Set in $2.168^s n^{O(1)}$ time and $n^{O(1)}$ space. #R##N#* Edge Dominating Set in $2.315^s n^{O(1)}$ time and $n^{O(1)}$ space. #R##N#* Max Internal Out-Branching in $6.855^s n^{O(1)}$ time and space. #R##N#We further show that Weighted Vertex Cover and Weighted Edge Dominating Set admit fast algorithms whose running times are of the form $c^t n^{O(1)}$, where $t \leq s$ is the minimum size of a solution.

Includes members:
  Member "representative families a unified tradeoff based approach":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "hitting long directed cycles is fixed parameter tractable")
  Member "minimum bisection is fixed parameter tractable":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "fixed parameter tractability of counting small minimum s t cuts")
  Member "deterministic parameterized connected vertex cover":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "parameterized algorithms for maximum cut with connectivity constraints")
  Member "vertex cover kernelization revisited upper and lower bounds for a refined parameter":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "subexponential parameterized algorithms and kernelization on almost chordal graphs")
  Member "determinant sums for undirected hamiltonicity":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "finding temporal patterns using algebraic fingerprints")
  Member "algorithm for finding k vertex out trees and its application to k internal out branching problem":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "designing deterministic polynomial space algorithms by color coding multivariate polynomials")
  Member "a linear vertex kernel for maximum internal spanning tree":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "reoptimization of parameterized problems")
  Member "minimum leaf out branching and related problems":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "designing deterministic polynomial space algorithms by color coding multivariate polynomials")

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)