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: "using neighborhood diversity to solve hard problems"
  Abstract: Parameterized algorithms are a very useful tool for dealing with NP-hard problems on graphs. Yet, to properly utilize parameterized algorithms it is necessary to choose the right parameter based on the type of problem and properties of the target graph class. Tree-width is an example of a very successful graph parameter, however it cannot be used on dense graph classes and there also exist problems which are hard even on graphs of bounded tree-width. Such problems can be tackled by using vertex cover as a parameter, however this places severe restrictions on admissible graph classes. #R##N#Michael Lampis has recently introduced neighborhood diversity, a new graph parameter which generalizes vertex cover to dense graphs. Among other results, he has shown that simple parameterized algorithms exist for a few problems on graphs of bounded neighborhood diversity. Our article further studies this area and provides new algorithms parameterized by neighborhood diversity for the p-Vertex-Disjoint Paths, Graph Motif and Precoloring Extension problems -- the latter two being hard even on graphs of bounded tree-width.

Connected through hyperedge HE-1 (induced by source paper "iterated type partitions"):
  with members:
    - "parameterized complexity of equitable coloring"
    - "fully polynomial fpt algorithms for some classes of bounded clique width graphs"
    - "target set selection in dense graph classes"
    - "evangelism in social networks algorithms and complexity"
    - "partitioning graphs into induced subgraphs"
    - "parameterized algorithms for modular width"

Connected through hyperedge HE-2 (induced by source paper "on adaptive algorithms for maximum matching"):
  with members:
    - "a quasi linear time b matching algorithm on distance hereditary graphs and bounded split width graphs"
    - "efficient and adaptive parameterized algorithms on modular decompositions"
    - "parameterized aspects of triangle enumeration"
    - "robust and adaptive search"
    - "on the power of tree depth for fully polynomial fpt algorithms"
    - "simplified algorithmic metatheorems beyond mso treewidth and neighborhood diversity"
    - "a linear time algorithm for maximum cardinality matching on cocomparability graphs"
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"

Connected through hyperedge HE-3 (induced by source paper "combinatorial n fold integer programming and applications"):
  with members:
    - "a parameterized strongly polynomial algorithm for block structured integer programs"
    - "on integer programming and convolution"
    - "scheduling meets n fold integer programming"
    - "the complexity landscape of decompositional parameters for ilp"
    - "proximity results and faster algorithms for integer programming using the steinitz lemma"
    - "simplified algorithmic metatheorems beyond mso treewidth and neighborhood diversity"
    - "voting and bribing in single exponential time"
    - "about the structure of the integer cone and its application to bin packing"

Connected through hyperedge HE-4 (induced by source paper "simplified algorithmic metatheorems beyond mso treewidth and neighborhood diversity"):
  with members:
    - "parameterized complexity of fair deletion problems"
    - "the graph motif problem parameterized by the structure of the input graph"
    - "on the parameterized complexity of recognizing well covered r l graphs"
    - "algorithms and hardness results for happy coloring problems"
    - "anti path cover on sparse graph classes"
    - "target set selection in dense graph classes"
    - "extension complexity mso logic and treewidth"
    - "on the parameterized complexity of computing balanced partitions in graphs"

Connected through hyperedge HE-5 (induced by source paper "the graph motif problem parameterized by the structure of the input graph"):
  with members:
    - "slightly superexponential parameterized problems"
    - "on problems as hard as cnf sat"
    - "finding and counting vertex colored subtrees"
    - "kernelization lower bounds by cross composition"
    - "algorithms for jumbled pattern matching in strings"
    - "constrained multilinear detection for faster functional motif discovery"
    - "known algorithms for edge clique cover are probably optimal"

Connected through hyperedge HE-6 (induced by source paper "algorithms and hardness results for happy coloring problems"):
  with members:
    - "fixed parameter complexity of distance constrained labeling and uniform channel assignment problems"

Connected through hyperedge HE-7 (induced by source paper "evangelism in social networks algorithms and complexity"):
  with members:
    - "target set selection in dense graph classes"
    - "on finding small sets that influence large networks"
    - "spread of influence in weighted networks under time and budget constraints"
    - "contagious sets in dense graphs"
    - "distance constrained labeling on graphs with bounded neighborhood diversity"
    - "parameterized approximability of maximizing the spread of influence in networks"
    - "latency bounded target set selection in social networks"
    - "algorithmic meta theorems"

Connected through hyperedge HE-8 (induced by source paper "kernelizing mso properties of trees of fixed height and some consequences"):
  with members:
    - "model checking lower bounds for simple graphs"
    - "courcelle s theorem a game theoretic approach"
    - "linear time algorithms for graphs of bounded rankwidth a fresh look using game theory"
    - "algorithmic meta theorems"

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)