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: "split decomposition and graph labelled trees characterizations and fully dynamic algorithms for totally decomposable graphs"
  Abstract: In this paper, we revisit the split decomposition of graphs and give new combinatorial and algorithmic results for the class of totally decomposable graphs, also known as the distance hereditary graphs, and for two non-trivial subclasses, namely the cographs and the 3-leaf power graphs. Precisely, we give strutural and incremental characterizations, leading to optimal fully-dynamic recognition algorithms for vertex and edge modifications, for each of these classes. These results rely on a new framework to represent the split decomposition, namely the graph-labelled trees, which also captures the modular decomposition of graphs and thereby unify these two decompositions techniques. The point of the paper is to use bijections between these graph classes and trees whose nodes are labelled by cliques and stars. Doing so, we are also able to derive an intersection model for distance hereditary graphs, which answers an open problem.

Connected through hyperedge HE-1 (induced by source paper "on strict outer confluent graphs"):
  with members:
    - "strict confluent drawing"
    - "confluent hasse diagrams"
    - "confluent layered drawings"
    - "delta confluent drawings"
    - "confluent drawings visualizing non planar diagrams in a planar way"

Connected through hyperedge HE-2 (induced by source paper "a quasi linear time b matching algorithm on distance hereditary graphs and bounded split width graphs"):
  with members:
    - "parameterized aspects of triangle enumeration"
    - "fully polynomial fpt algorithms for some classes of bounded clique width graphs"
    - "the weighted matching approach to maximum cardinality matching"
    - "on the power of tree depth for fully polynomial fpt algorithms"
    - "when can graph hyperbolicity be computed in linear time"
    - "a linear time algorithm for maximum cardinality matching on cocomparability graphs"
    - "data structures for weighted matching and extensions to b matching and f factors"
    - "fully polynomial time parameterized computations for graphs and matrices of low treewidth"

Connected through hyperedge HE-3 (induced by source paper "modular decomposition of graphs and the distance preserving property"):
  with members:
    - "on distance preserving and sequentially distance preserving graphs"

Connected through hyperedge HE-4 (induced by source paper "fully polynomial fpt algorithms for some classes of bounded clique width graphs"):
  with members:
    - "the use of a pruned modular decomposition for maximum matching algorithms on some graph classes"
    - "efficient and adaptive parameterized algorithms on modular decompositions"
    - "parameterized aspects of triangle enumeration"
    - "on the power of tree depth for fully polynomial fpt algorithms"
    - "when can graph hyperbolicity be computed in linear time"
    - "the power of data reduction for matching"
    - "tight hardness results for distance and centrality problems in constant degree graphs"
    - "fully polynomial time parameterized computations for graphs and matrices of low treewidth"

Connected through hyperedge HE-5 (induced by source paper "a single exponential fixed parameter algorithm for distance hereditary vertex deletion"):
  with members:
    - "the behavior of clique width under graph operations and graph transformations"
    - "a polynomial kernel for distance hereditary vertex deletion"
    - "a faster fpt algorithm and a smaller kernel for block graph vertex deletion"
    - "solving problems on graphs of high rank width"
    - "meta kernelization using well structured modulators"
    - "a polynomial kernel for block graph deletion"
    - "an fpt algorithm and a polynomial kernel for linear rankwidth 1 vertex deletion"
    - "kernelization using structural parameters on sparse graph classes"

Connected through hyperedge HE-6 (induced by source paper "a polynomial kernel for distance hereditary vertex deletion"):
  with members:
    - "feedback vertex set inspired kernel for chordal vertex deletion"
    - "approximation and kernelization for chordal vertex deletion"
    - "a single exponential fixed parameter algorithm for distance hereditary vertex deletion"
    - "an fpt algorithm and a polynomial kernel for linear rankwidth 1 vertex deletion"
    - "uniform kernelization complexity of hitting forbidden minors"
    - "linear kernels and single exponential algorithms via protrusion decompositions"

Connected through hyperedge HE-7 (induced by source paper "an fpt algorithm and a polynomial kernel for linear rankwidth 1 vertex deletion"):
  with members:
    - "further kernelization of proper interval vertex deletion new observations and refined analysis"
    - "a single exponential fixed parameter algorithm for distance hereditary vertex deletion"
    - "constructive algorithm for path width of matroids"
    - "unit interval editing is fixed parameter tractable"
    - "a note on graphs of linear rank width 1"
    - "interval deletion is fixed parameter tractable"
    - "a polynomial kernel for proper interval vertex deletion"
    - "linear kernels and single exponential algorithms via protrusion decompositions"

Connected through hyperedge HE-8 (induced by source paper "solving problems on graphs of high rank width"):
  with members:
    - "meta kernelization using well structured modulators"
    - "on feedback vertex set new measure and new structures"
    - "chordal editing is fixed parameter tractable"
    - "kernelization using structural parameters on sparse graph classes"
    - "meta kernelization with structural parameters"
    - "backdoors to satisfaction"
    - "practical and efficient split decomposition via graph labelled trees"
    - "kernel bounds for path and cycle problems"

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.DM(Discrete Mathematics)