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: "computing with tangles"
  Abstract: Tangles of graphs have been introduced by Robertson and Seymour in the context of their graph minor theory. Tangles may be viewed as describing "k-connected components" of a graph (though in a twisted way). They play an important role in graph minor theory. An interesting aspect of tangles is that they cannot only be defined for graphs, but more generally for arbitrary connectivity functions (that is, integer-valued submodular and symmetric set functions). #R##N#However, tangles are difficult to deal with algorithmically. To start with, it is unclear how to represent them, because they are families of separations and as such may be exponentially large. Our first contribution is a data structure for representing and accessing all tangles of a graph up to some fixed order. #R##N#Using this data structure, we can prove an algorithmic version of a very general structure theorem due to Carmesin, Diestel, Harman and Hundertmark (for graphs) and Hundertmark (for arbitrary connectivity functions) that yields a canonical tree decomposition whose parts correspond to the maximal tangles. (This may be viewed as a generalisation of the decomposition of a graph into its 3-connected components.)

Connected through hyperedge HE-1 (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"
    - "the weisfeiler leman dimension of planar graphs is at most 3"
    - "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"

Connected through hyperedge HE-2 (induced by source paper "tangled up in blue a survey on connectivity decompositions and tangles"):
  with members:
    - "quasi 4 connected components"
    - "tangles and connectivity in graphs"
    - "maximum matching width new characterizations and a fast algorithm for dominating set"
    - "isomorphism testing for graphs of bounded rank width"
    - "hypertree decompositions and tractable queries"

Connected through hyperedge HE-3 (induced by source paper "tangles and connectivity in graphs"):
  with members:
    - "quasi 4 connected components"
    - "isomorphism testing for graphs of bounded rank width"
    - "structure theorem and isomorphism test for graphs with excluded topological subgraphs"

Connected through hyperedge HE-4 (induced by source paper "quasi 4 connected components"):
  with members:
    - "tangles and connectivity in graphs"
    - "finding small separators in linear time via treewidth reduction"

Connected through hyperedge HE-5 (induced by source paper "isomorphism testing for graphs of bounded rank width"):
  with members:
    - "towards an isomorphism dichotomy for hereditary graph classes"
    - "fixed parameter tractable canonization and isomorphism test for graphs of bounded treewidth"
    - "graph isomorphism for graph classes characterized by two forbidden induced subgraphs"
    - "isomorphism of graph classes related to the circular ones property"
    - "structure theorem and isomorphism test for graphs with excluded topological subgraphs"
    - "nlc 2 graph recognition and isomorphism"

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)