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: "graph isomorphism for unit square graphs"
  Abstract: In the past decades for more and more graph classes the Graph Isomorphism Problem was shown to be solvable in polynomial time. An interesting family of graph classes arises from intersection graphs of geometric objects. In this work we show that the Graph Isomorphism Problem for unit square graphs, intersection graphs of axis-parallel unit squares in the plane, can be solved in polynomial time. Since the recognition problem for this class of graphs is NP-hard we can not rely on standard techniques for geometric graphs based on constructing a canonical realization. Instead, we develop new techniques which combine structural insights into the class of unit square graphs with understanding of the automorphism group of such graphs. For the latter we introduce a generalization of bounded degree graphs which is used to capture the main structure of unit square graphs. Using group theoretic algorithms we obtain sufficient information to solve the isomorphism problem for unit square graphs.

Connected through hyperedge HE-1 (induced by source paper "hypergraph isomorphism for groups with restricted composition factors"):
  with members:
    - "graph isomorphism in quasipolynomial time parameterized by treewidth"
    - "an improved isomorphism test for bounded tree width graphs"
    - "a faster isomorphism test for graphs of small degree"
    - "a unifying method for the design of algorithms canonizing combinatorial objects"
    - "graph isomorphism in quasipolynomial time"
    - "graph isomorphism for bounded genus graphs in linear time"
    - "tight lower and upper bounds for the complexity of canonical colour refinement"
    - "isomorphism testing for graphs of bounded rank width"

Connected through hyperedge HE-2 (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"
    - "the weisfeiler leman dimension of planar graphs is at most 3"
    - "on the combinatorial power of the weisfeiler lehman algorithm"
    - "practical graph isomorphism ii"

Connected through hyperedge HE-3 (induced by source paper "graph isomorphism for h_1 h_2 free graphs an almost complete dichotomy"):
  with members:
    - "canonisation and definability for graphs of bounded rank width"
    - "an improved isomorphism test for bounded tree width graphs"
    - "a faster isomorphism test for graphs of small degree"
    - "clique width for graph classes closed under complementation"
    - "induced minor free graphs isomorphism and clique width"
    - "bounding the clique width of h free chordal graphs"
    - "colouring diamond free graphs"
    - "isomorphism testing for graphs of bounded rank width"

Connected through hyperedge HE-4 (induced by source paper "an improved isomorphism test for bounded tree width graphs"):
  with members:
    - "towards faster isomorphism tests for bounded degree graphs"
    - "canonizing graphs of bounded tree width in logspace"
    - "isomorphism testing for graphs of bounded rank width"
    - "reduction techniques for graph isomorphism in the context of width parameters"
    - "structure theorem and isomorphism test for graphs with excluded topological subgraphs"

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)