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: "hitting forbidden minors approximation and kernelization"
  Abstract: We study a general class of problems called F-deletion problems. In an F-deletion problem, we are asked whether a subset of at most $k$ vertices can be deleted from a graph $G$ such that the resulting graph does not contain as a minor any graph from the family F of forbidden minors. #R##N#We obtain a number of algorithmic results on the F-deletion problem when F contains a planar graph. We give (1) a linear vertex kernel on graphs excluding $t$-claw $K_{1,t}$, the star with $t$ leves, as an induced subgraph, where $t$ is a fixed integer. (2) an approximation algorithm achieving an approximation ratio of $O(\log^{3/2} OPT)$, where $OPT$ is the size of an optimal solution on general undirected graphs. Finally, we obtain polynomial kernels for the case when F contains graph $\theta_c$ as a minor for a fixed integer $c$. The graph $\theta_c$ consists of two vertices connected by $c$ parallel edges. Even though this may appear to be a very restricted class of problems it already encompasses well-studied problems such as {\sc Vertex Cover}, {\sc Feedback Vertex Set} and Diamond Hitting Set. The generic kernelization algorithm is based on a non-trivial application of protrusion techniques, previously used only for problems on topological graph classes.

Connected through hyperedge HE-1 (induced by source paper "structural parameterization for graph deletion problems over data streams"):
  with members:
    - "on the streaming complexity of fundamental geometric problems"
    - "tight bounds for single pass streaming complexity of the set cover problem"
    - "faster deterministic feedback vertex set"
    - "interval deletion is fixed parameter tractable"
    - "linear kernels and single exponential algorithms via protrusion decompositions"
    - "preprocessing subgraph and minor problems when does a small vertex cover help"

Connected through hyperedge HE-2 (induced by source paper "subset feedback vertex set in chordal and split graphs"):
  with members:
    - "exact algorithms via monotone local search"
    - "a randomized polynomial kernel for subset feedback vertex set"
    - "half integrality lp branching and fpt algorithms"
    - "directed subset feedback vertex set is fixed parameter tractable"
    - "subset feedback vertex set is fixed parameter tractable"

Connected through hyperedge HE-3 (induced by source paper "packing and covering induced subdivisions"):
  with members:
    - "recent techniques and results on the erd h o s p osa property"
    - "approximation and kernelization for chordal vertex deletion"
    - "an o log opt approximation for covering and packing minor models of theta _r"

Connected through hyperedge HE-4 (induced by source paper "linear kernels for separating a graph into components of bounded size"):
  with members:
    - "on a generalization of nemhauser and trotter s local optimization theorem"
    - "deleting edges to restrict the size of an epidemic a new application for treewidth"
    - "on the computational complexity of vertex integrity and component order connectivity"
    - "minimum bisection is fixed parameter tractable"
    - "minimum k way cut of bounded size is fixed parameter tractable"
    - "finding small separators in linear time via treewidth reduction"
    - "multicut is fpt"
    - "fixed parameter tractability of multicut parameterized by the size of the cutset"

Connected through hyperedge HE-5 (induced by source paper "polylogarithmic approximation algorithms for weighted mathcal f deletion problems"):
  with members:
    - "feedback vertex set inspired kernel for chordal vertex deletion"
    - "approximation and kernelization for chordal vertex deletion"
    - "bidimensionality and kernels"
    - "lp based robust algorithms for noisy minor free and bounded treewidth graphs"
    - "bidimensionality and geometric graphs"
    - "bidimensionality and eptas"
    - "hitting diamonds and growing cacti"

Connected through hyperedge HE-6 (induced by source paper "on a generalization of nemhauser and trotter s local optimization theorem"):
  with members:
    - "a parameterized algorithm for bounded degree vertex deletion"
    - "faster parameterized algorithms using linear programming"
    - "a generalization of nemhauser and trotter s local optimization theorem"

Connected through hyperedge HE-7 (induced by source paper "lower bounds for protrusion replacement by counting equivalence classes"):
  with members:
    - "lower bounds for dynamic programming on planar graphs of bounded cutwidth"
    - "the effect of planarization on width"
    - "explicit linear kernels for packing problems"
    - "vertex cover structural parameterization revisited"
    - "explicit linear kernels via dynamic programming"
    - "kernelization using structural parameters on sparse graph classes"
    - "linear kernels and single exponential algorithms via protrusion decompositions"
    - "known algorithms on graphs of bounded treewidth are probably optimal"

Connected through hyperedge HE-8 (induced by source paper "uniform kernelization complexity of hitting forbidden minors"):
  with members:
    - "turing kernelization for finding long paths and cycles in restricted graph classes"
    - "bidimensionality and kernels"
    - "a faster parameterized algorithm for treedepth"
    - "polynomial bounds for the grid minor theorem"
    - "kernelization using structural parameters on sparse graph classes"
    - "network sparsification for steiner problems on planar and bounded genus graphs"
    - "kernel bounds for structural parameterizations of pathwidth"
    - "linear kernels and single exponential algorithms via protrusion decompositions"

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)