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: "characterizing the easy to find subgraphs from the viewpoint of polynomial time algorithms kernels and turing kernels"
  Abstract: We study two fundamental problems related to finding subgraphs: (1) given graphs G and H, Subgraph Test asks if H is isomorphic to a subgraph of G, (2) given graphs G, H, and an integer t, Packing asks if G contains t vertex-disjoint subgraphs isomorphic to H. For every graph class F, let F-Subgraph Test and F-Packing be the special cases of the two problems where H is restricted to be in F. Our goal is to study which classes F make the two problems tractable in one of the following senses: #R##N#* (randomized) polynomial-time solvable, #R##N#* admits a polynomial (many-one) kernel, or #R##N#* admits a polynomial Turing kernel (that is, has an adaptive polynomial-time procedure that reduces the problem to a polynomial number of instances, each of which has size bounded polynomially by the size of the solution). #R##N#We identify a simple combinatorial property such that if a hereditary class F has this property, then F-Packing admits a polynomial kernel, and has no polynomial (many-one) kernel otherwise, unless the polynomial hierarchy collapses. Furthermore, if F does not have this property, then F-Packing is either WK[1]-hard, W[1]-hard, or Long Path-hard, giving evidence that it does not admit polynomial Turing kernels either. #R##N#For F-Subgraph Test, we show that if every graph of a hereditary class F satisfies the property that it is possible to delete a bounded number of vertices such that every remaining component has size at most two, then F-Subgraph Test is solvable in randomized polynomial time and it is NP-hard otherwise. We introduce a combinatorial property called (a,b,c,d)-splittability and show that if every graph in a hereditary class F has this property, then F-Subgraph Test admits a polynomial Turing kernel and it is WK[1]-hard, W[1]-hard, or Long Path-hard, otherwise.

Connected through hyperedge HE-1 (induced by source paper "subgraph isomorphism on graph classes that exclude a substructure"):
  with members:
    - "tight lower bounds on graph embedding problems"
    - "on the computational complexity of vertex integrity and component order connectivity"
    - "everything you always wanted to know about the parameterized complexity of subgraph isomorphism but were afraid to ask"
    - "surface split decompositions and subgraph isomorphism in graphs on surfaces"
    - "planar subgraph isomorphism revisited"
    - "subgraph isomorphism in planar graphs and related problems"

Connected through hyperedge HE-2 (induced by source paper "alternative parameterizations of metric dimension"):
  with members:
    - "identification location domination and metric dimension on interval and permutation graphs ii algorithms and complexity"
    - "a polynomial turing kernel for weighted independent set in bull free graphs"
    - "metric dimension of bounded tree length graphs"
    - "metric dimension parameterized by max leaf number"
    - "metric dimension for gabriel unit disk graphs is np complete"
    - "kernelization lower bounds by cross composition"
    - "non existence of polynomial kernels for the test cover problem"
    - "parameterized study of the test cover problem"

Connected through hyperedge HE-3 (induced by source paper "homomorphisms are a good basis for counting small subgraphs"):
  with members:
    - "the hardness of embedding grids and walls"
    - "parameterized counting of trees forests and matroid bases"
    - "if the current clique algorithms are optimal so is valiant s parser"
    - "exponential time complexity of the permanent and the tutte polynomial"
    - "powers of tensors and fast matrix multiplication"
    - "complexity of counting subgraphs only the boundedness of the vertex cover number counts"
    - "the parameterized complexity of k biclique"
    - "the challenges of unbounded treewidth in parameterised subgraph counting problems"

Connected through hyperedge HE-4 (induced by source paper "turing kernelization for finding long paths in graph classes excluding a topological minor"):
  with members:
    - "turing kernelization for finding long paths and cycles in restricted graph classes"
    - "exploring the complexity of layout parameters in tournaments and semi complete digraphs"
    - "a polynomial turing kernel for weighted independent set in bull free graphs"
    - "minimum bisection is fixed parameter tractable"
    - "kernelization lower bounds by cross composition"
    - "structure theorem and isomorphism test for graphs with excluded topological subgraphs"

Connected through hyperedge HE-5 (induced by source paper "turing kernelization for finding long paths and cycles in restricted graph classes"):
  with members:
    - "a polynomial turing kernel for weighted independent set in bull free graphs"
    - "parameterized algorithms for deletion to r l graphs"
    - "kernelization lower bounds by cross composition"
    - "kernel bounds for path and cycle problems"
    - "parameterized and exact computation"

Connected through hyperedge HE-6 (induced by source paper "the hardness of embedding grids and walls"):
  with members:
    - "the parameterized complexity of k biclique"
    - "everything you always wanted to know about the parameterized complexity of subgraph isomorphism but were afraid to ask"
    - "one hierarchy spawns another graph deconstructions and the complexity classification of conjunctive queries"
    - "subgraph isomorphism in planar graphs and related problems"

Connected through hyperedge HE-7 (induced by source paper "fine grained parameterized complexity analysis of graph coloring problems"):
  with members:
    - "data reduction for graph coloring problems"
    - "known algorithms on graphs of bounded treewidth are probably optimal"

Connected through hyperedge HE-8 (induced by source paper "inapproximability of h transversal packing"):
  with members:
    - "pre reduction graph products hardnesses of properly learning dfas and approximating edp on dags"
    - "improved approximation for 3 dimensional matching via bounded pathwidth local search"
    - "packing interval graphs with vertex disjoint triangles"
    - "hardness of vertex deletion and project scheduling"
    - "directed subset feedback vertex set is fixed parameter tractable"
    - "subset feedback vertex set is fixed parameter tractable"
    - "a new multilayered pcp and the hardness of hypergraph vertex cover"

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)