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: "on group feedback vertex set parameterized by the size of the cutset"
  Abstract: We study the parameterized complexity of a robust generalization of the classical Feedback Vertex Set problem, namely the Group Feedback Vertex Set problem; we are given a graph G with edges labeled with group elements, and the goal is to compute the smallest set of vertices that hits all cycles of G that evaluate to a non-null element of the group. This problem generalizes not only Feedback Vertex Set, but also Subset Feedback Vertex Set, Multiway Cut and Odd Cycle Transversal. Completing the results of Guillemot [Discr. Opt. 2011], we provide a fixed-parameter algorithm for the parameterization by the size of the cutset only. Our algorithm works even if the group is given as a polynomial-time oracle.

Connected through hyperedge HE-1 (induced by source paper "an improved fpt algorithm for independent feedback vertex set"):
  with members:
    - "linear time kernelization for feedback vertex set"
    - "simultaneous feedback vertex set a parameterized perspective"
    - "on feedback vertex set new measure and new structures"
    - "half integrality lp branching and fpt algorithms"
    - "faster deterministic feedback vertex set"
    - "representative sets and irrelevant vertices new tools for kernelization"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "subset feedback vertex set is fixed parameter tractable"

Connected through hyperedge HE-2 (induced by source paper "the half integral erdos posa property for non null cycles"):
  with members:
    - "improved bounds for the excluded grid theorem"
    - "half integrality lp branching and fpt algorithms"
    - "polynomial bounds for the grid minor theorem"
    - "finding small separators in linear time via treewidth reduction"

Connected through hyperedge HE-3 (induced by source paper "lp branching algorithms based on biased graphs"):
  with members:
    - "the complexity landscape of decompositional parameters for ilp"
    - "on problems as hard as cnf sat"
    - "an approach to parameterized resiliency problems using integer linear programming"
    - "extension complexity mso logic and treewidth"
    - "parameterized integer quadratic programming variables and coefficients"
    - "a structural approach to kernels for ilps treewidth and total unimodularity"
    - "half integrality lp branching and fpt algorithms"
    - "designing fpt algorithms for cut problems using randomized contractions"

Connected through hyperedge HE-4 (induced by source paper "a note on finding dual feedback vertex set"):
  with members:
    - "on feedback vertex set new measure and new structures"
    - "half integrality lp branching and fpt algorithms"
    - "faster deterministic feedback vertex set"

Connected through hyperedge HE-5 (induced by source paper "half integrality lp branching and fpt algorithms"):
  with members:
    - "towards minimizing k submodular functions"
    - "linear time parameterized algorithms via skew symmetric multicuts"
    - "linear time fpt algorithms via network flow"
    - "the power of linear programming for valued csps"
    - "designing fpt algorithms for cut problems using randomized contractions"
    - "faster parameterized algorithms using linear programming"
    - "the power of linear programming for valued csps a constructive characterization"
    - "min csp on four elements moving beyond submodularity"

Connected through hyperedge HE-6 (induced by source paper "a faster fpt algorithm for bipartite contraction"):
  with members:
    - "linear time parameterized algorithms via skew symmetric multicuts"
    - "linear time fpt algorithms via network flow"
    - "interval deletion is fixed parameter tractable"
    - "faster parameterized algorithms using linear programming"
    - "obtaining planarity by contracting few edges"
    - "representative sets and irrelevant vertices new tools for kernelization"
    - "finding small separators in linear time via treewidth reduction"
    - "compression via matroids a randomized polynomial kernel for odd cycle transversal"

Connected through hyperedge HE-7 (induced by source paper "designing fpt algorithms for cut problems using randomized contractions"):
  with members:
    - "clustering with local restrictions"
    - "half integrality lp branching and fpt algorithms"
    - "faster parameterized algorithms using linear programming"
    - "fixed parameter tractability of multicut in directed acyclic graphs"
    - "minimum k way cut of bounded size is fixed parameter tractable"
    - "finding small separators in linear time via treewidth reduction"
    - "large isolating cuts shrink the multiway cut"
    - "fixed parameter tractability of directed multiway cut parameterized by the size of the cutset"

Connected through hyperedge HE-8 (induced by source paper "representative sets and irrelevant vertices new tools for kernelization"):
  with members:
    - "bidimensionality and kernels"
    - "on vertex sparsifiers with steiner nodes"
    - "kernelization of packing problems"
    - "clique cover and graph separation new incompressibility results"
    - "preprocessing for treewidth a combinatorial analysis through kernelization"
    - "compression via matroids a randomized polynomial kernel for odd cycle transversal"
    - "on multiway cut parameterized above lower bounds"
    - "fixed parameter tractability of multicut parameterized by the size of the cutset"

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)