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: "finding and counting vertex colored subtrees"
  Abstract: The problems studied in this article originate from the Graph Motif problem introduced by Lacroix et al. (IEEE/ACM Trans. Comput. Biol. Bioinform. 3(4):360---368, 2006) in the context of biological networks. The problem is to decide if a vertex-colored graph has a connected subgraph whose colors equal a given multiset of colors M. It is a graph pattern-matching problem variant, where the structure of the occurrence of the pattern is not of interest but the only requirement is the connectedness. Using an algebraic framework recently introduced by Koutis (Proceedings of the 35th International Colloquium on Automata, Languages and Programming (ICALP), Lecture Notes in Computer Science, vol. 5125, pp. 575---586, 2008) and Koutis and Williams (Proceedings of the 36th International Colloquium on Automata, Languages and Programming (ICALP), Lecture Notes in Computer Science, vol. 5555, pp. 653---664, 2009), we obtain new FPT algorithms for Graph Motif and variants, with improved running times. We also obtain results on the counting versions of this problem, proving that the counting problem is FPT if M is a set, but becomes #W[1]-hard if M is a multiset with two colors. Finally, we present an experimental evaluation of this approach on real datasets, showing that its performance compares favorably with existing software.

Connected through hyperedge HE-1 (induced by source paper "a survey on subgraph counting concepts algorithms and applications to network motifs and graphlets"):
  with members:
    - "heterogeneous network motifs"
    - "variational principle for scale free network motifs"
    - "the sketching complexity of graph and hypergraph counting"
    - "motifs in temporal networks"
    - "large scale network motif learning with compression"
    - "butterfly counting in bipartite networks"
    - "estimation of graphlet statistics"
    - "combinatorial algorithm for counting small induced graphs and orbits"

Connected through hyperedge HE-2 (induced by source paper "fixed parameter tractability of counting small minimum s t cuts"):
  with members:
    - "minimum bisection is fixed parameter tractable"
    - "finding small separators in linear time via treewidth reduction"
    - "fixed parameter tractability of directed multiway cut parameterized by the size of the cutset"
    - "multicut is fpt"
    - "fixed parameter tractability of multicut parameterized by the size of the cutset"

Connected through hyperedge HE-3 (induced by source paper "waring rank parameterized and exact algorithms"):
  with members:
    - "fast exact algorithms using hadamard product of polynomials"
    - "extensor coding"
    - "barriers for rank methods in arithmetic complexity"
    - "designing deterministic polynomial space algorithms by color coding multivariate polynomials"
    - "the border support rank of two by two matrix multiplication is seven"
    - "no occurrence obstructions in geometric complexity theory"
    - "nash social welfare matrix permanent and stable polynomials"
    - "graph isomorphism in quasipolynomial time"

Connected through hyperedge HE-4 (induced by source paper "the graph motif problem parameterized by the structure of the input graph"):
  with members:
    - "slightly superexponential parameterized problems"
    - "on problems as hard as cnf sat"
    - "using neighborhood diversity to solve hard problems"
    - "kernelization lower bounds by cross composition"
    - "algorithms for jumbled pattern matching in strings"
    - "constrained multilinear detection for faster functional motif discovery"
    - "known algorithms for edge clique cover are probably optimal"

Connected through hyperedge HE-5 (induced by source paper "some results on more flexible versions of graph motif"):
  with members:
    - "constrained multilinear detection for faster functional motif discovery"

Connected through hyperedge HE-6 (induced by source paper "the challenges of unbounded treewidth in parameterised subgraph counting problems"):
  with members:
    - "complexity of counting subgraphs only the boundedness of the vertex cover number counts"
    - "the parameterized complexity of k biclique"
    - "parameterized analogues of probabilistic computation"
    - "the parameterised complexity of counting connected subgraphs and graph motifs"
    - "the fine classification of conjunctive queries and parameterized logarithmic space complexity"
    - "efficient triangle counting in large graphs via degree based vertex partitioning"
    - "counting paths and packings in halves"
    - "balanced families of perfect hash functions and their applications"

Connected through hyperedge HE-7 (induced by source paper "representative sets of product families"):
  with members:
    - "faster computation of representative families for uniform matroids with applications"
    - "efficient computation of representative sets with applications in parameterized and exact algorithms"
    - "solving weighted and counting variants of connectivity problems parameterized by treewidth deterministically in single exponential time"
    - "constrained multilinear detection for faster functional motif discovery"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "narrow sieves for parameterized paths and packings"

Connected through hyperedge HE-8 (induced by source paper "the parameterised complexity of counting connected subgraphs and graph motifs"):
  with members:
    - "complexity of counting subgraphs only the boundedness of the vertex cover number counts"
    - "some hard families of parameterised counting problems"
    - "the parameterized complexity of k edge induced 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.CC(Computational Complexity)