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: "the weisfeiler leman dimension of planar graphs is at most 3"
  Abstract: We prove that the Weisfeiler-Leman (WL) dimension of the class of all finite planar graphs is at most 3. In particular, every finite planar graph is definable in first-order logic with counting using at most 4 variables. The previously best known upper bounds for the dimension and number of variables were 14 and 15, respectively.   First we show that, for dimension 3 and higher, the WL-algorithm correctly tests isomorphism of graphs in a minor-closed class whenever it determines the orbits of the automorphism group of any arc-colored 3-connected graph belonging to this class.   Then we prove that, apart from several exceptional graphs (which have WL-dimension at most 2), the individualization of two correctly chosen vertices of a colored 3-connected planar graph followed by the 1-dimensional WL-algorithm produces the discrete vertex partition. This implies that the 3-dimensional WL-algorithm determines the orbits of a colored 3-connected planar graph.   As a byproduct of the proof, we get a classification of the 3-connected planar graphs with fixing number 3.

Connected through hyperedge HE-1 (induced by source paper "a linear upper bound on the weisfeiler leman dimension of graphs of bounded genus"):
  with members:
    - "canonisation and definability for graphs of bounded rank width"
    - "a finite model theoretic view on propositional proof complexity"
    - "weisfeiler and leman go neural higher order graph neural networks"
    - "definable ellipsoid method sums of squares proofs and the isomorphism problem"
    - "on the combinatorial power of the weisfeiler lehman algorithm"
    - "semi supervised classification with graph convolutional networks"
    - "upper bounds on the quantifier depth for graph differentiation in first order logic"
    - "graph isomorphism in quasipolynomial time"

Connected through hyperedge HE-2 (induced by source paper "circle graph isomorphism in almost linear time"):
  with members:
    - "testing isomorphism of circular arc graphs in polynomial time"
    - "deciding circular arc graph isomorphism in parameterized logspace"
    - "graph isomorphism restricted by lists"
    - "graph isomorphism in quasipolynomial time"
    - "completing orientations of partially oriented graphs"
    - "extending partial representations of interval graphs"
    - "extending partial representations of circle graphs"
    - "extending partial representations of proper and unit interval graphs"

Connected through hyperedge HE-3 (induced by source paper "the power of the weisfeiler leman algorithm to decompose graphs"):
  with members:
    - "towards a practical k dimensional weisfeiler leman algorithm"
    - "canonisation and definability for graphs of bounded rank width"
    - "a linear upper bound on the weisfeiler leman dimension of graphs of bounded genus"
    - "weisfeiler and leman go neural higher order graph neural networks"
    - "lov asz meets weisfeiler and leman"
    - "on the combinatorial power of the weisfeiler lehman algorithm"
    - "graph isomorphism for unit square graphs"
    - "practical graph isomorphism ii"

Connected through hyperedge HE-4 (induced by source paper "canonisation and definability for graphs of bounded rank width"):
  with members:
    - "an improved isomorphism test for bounded tree width graphs"
    - "definable decompositions for graphs of bounded linear cliquewidth"
    - "computing with tangles"
    - "isomorphism testing for graphs of bounded rank width"
    - "fixed parameter tractable canonization and isomorphism test for graphs of bounded treewidth"
    - "structure theorem and isomorphism test for graphs with excluded topological subgraphs"
    - "capturing polynomial time on interval graphs"

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)