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: "canonizing graphs of bounded tree width in logspace"
  Abstract: Graph canonization is the problem of computing a unique representative, a canon, from the isomorphism class of a given graph. This implies that two graphs are isomorphic exactly if their canons are equal. We show that graphs of bounded tree width can be canonized by logarithmic-space (logspace) algorithms. This implies that the isomorphism problem for graphs of bounded tree width can be decided in logspace. In the light of isomorphism for trees being hard for the complexity class logspace, this makes the ubiquitous class of graphs of bounded tree width one of the few classes of graphs for which the complexity of the isomorphism problem has been exactly determined.

Connected through hyperedge HE-1 (induced by source paper "graph isomorphism in quasipolynomial time parameterized by treewidth"):
  with members:
    - "hypergraph isomorphism for groups with restricted composition factors"
    - "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"
    - "minimum circuit size graph isomorphism and related problems"
    - "graph isomorphism in quasipolynomial time"
    - "graph isomorphism for bounded genus graphs in linear time"
    - "fixed parameter tractable canonization and isomorphism test for graphs of bounded treewidth"

Connected through hyperedge HE-2 (induced by source paper "optimal in place algorithms for basic graph problems"):
  with members:
    - "biconnectivity st numbering and other applications of dfs using o n bits"
    - "a simple test on 2 vertex and 2 edge connectivity"
    - "space time trade offs for stack based algorithms"

Connected through hyperedge HE-3 (induced by source paper "an improved isomorphism test for bounded tree width graphs"):
  with members:
    - "towards faster isomorphism tests for bounded degree graphs"
    - "graph isomorphism for unit square graphs"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "the complexity of bisimulation and simulation on finite systems"):
  with members:
    - "l recursion and a new logic for logarithmic space"
    - "testing graph isomorphism in parallel by playing a game"

Connected through hyperedge HE-5 (induced by source paper "on the parallel parameterized complexity of the graph isomorphism problem"):
  with members:
    - "capturing polynomial time using modular decomposition"
    - "deciding circular arc graph isomorphism in parameterized logspace"
    - "fast parallel fixed parameter algorithms via color coding"
    - "graph isomorphism in quasipolynomial time"
    - "graph isomorphism parameterized by elimination distance to bounded degree"
    - "fixed parameter tractable canonization and isomorphism test for graphs of bounded treewidth"

Connected through hyperedge HE-6 (induced by source paper "frameworks for designing in place graph algorithms"):
  with members:
    - "biconnectivity st numbering and other applications of dfs using o n bits"
    - "succinct choice dictionaries"
    - "exact algorithms via monotone local search"
    - "selection from read only memory with limited workspace"
    - "the isomorphism problem for planar 3 connected graphs is in unambiguous logspace"
    - "radix sorting with no extra space"

Connected through hyperedge HE-7 (induced by source paper "graph isomorphism restricted by lists"):
  with members:
    - "algorithmic aspects of regular graph covers"
    - "induced minor free graphs isomorphism and clique width"
    - "polynomial time algorithm for isomorphism of graphs with clique width at most three"
    - "graph isomorphism in quasipolynomial time"
    - "graph isomorphism completeness for trapezoid graphs"
    - "graph isomorphism for bounded genus graphs in linear time"
    - "iv matching is strongly np hard"
    - "isomorphism testing for graphs of bounded rank width"

Connected through hyperedge HE-8 (induced by source paper "biconnectivity st numbering and other applications of dfs using o n bits"):
  with members:
    - "improved space efficient linear time algorithms for some classical graph problems"
    - "succinct choice dictionaries"
    - "improved space efficient algorithms for bfs dfs and applications"
    - "the mondshein sequence"
    - "a simple test on 2 vertex and 2 edge connectivity"
    - "space time trade offs for stack based algorithms"
    - "computing a visibility polygon using few variables"

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.CC(Computational Complexity)