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: "first order interpretations of bounded expansion classes"
  Abstract: The notion of bounded expansion captures uniform sparsity of graph classes and renders various algorithmic problems that are hard in general tractable. In particular, the model-checking problem for first-order logic is fixed-parameter tractable over such graph classes. With the aim of generalizing such results to dense graphs, we introduce classes of graphs with structurally bounded expansion, defined as first-order interpretations of classes of bounded expansion. As a first step towards their algorithmic treatment, we provide their characterization analogous to the characterization of classes of bounded expansion via low treedepth decompositions, replacing treedepth by its dense analogue called shrubdepth.

Connected through hyperedge HE-1 (induced by source paper "parameterized distributed complexity theory a logical approach"):
  with members:
    - "almost global problems in the local model"
    - "parameterized distributed algorithms"
    - "progressive algorithms for domination and independence"
    - "new classes of distributed time complexity"
    - "a time hierarchy theorem for the local model"
    - "deterministic subgraph detection in broadcast congest"
    - "towards a complexity theory for the congested clique"
    - "survey of distributed decision"

Connected through hyperedge HE-2 (induced by source paper "linear rankwidth meets stability"):
  with members:
    - "graphs of bounded cliquewidth are polynomially chi bounded"
    - "progressive algorithms for domination and independence"
    - "on the number of types in sparse graphs"
    - "polynomial kernels and wideness properties of nowhere dense graph classes"
    - "neighborhood complexity and kernelization for nowhere dense classes of graphs"

Connected through hyperedge HE-3 (induced by source paper "on low rank width colorings"):
  with members:
    - "clique width of graph classes defined by two forbidden induced subgraphs"
    - "deciding first order properties of nowhere dense graphs"
    - "compact labelings for efficient first order model checking"

Connected through hyperedge HE-4 (induced by source paper "shrub depth capturing height of dense graphs"):
  with members:
    - "model checking lower bounds for simple graphs"
    - "tree depth and vertex minors"

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)