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: "constrained multilinear detection for faster functional motif discovery"
  Abstract: The Graph Motif problem asks whether a given multiset of colors appears on a connected subgraph of a vertex-colored graph. The fastest known parameterized algorithm for this problem is based on a reduction to the k-Multilinear Detection (k-MlD) problem: the detection of multilinear terms of total degree k in polynomials presented as circuits. We revisit k-MlD and define k-CMlD, a constrained version of it which reflects Graph Motif more faithfully. We then give a fast algorithm for k-CMlD. As a result we obtain faster parameterized algorithms for Graph Motif and variants of it.

Connected through hyperedge HE-1 (induced by source paper "finding temporal patterns using algebraic fingerprints"):
  with members:
    - "approximately counting and sampling small witnesses using a colourful decision oracle"
    - "the computational complexity of finding temporal paths under waiting time constraints"
    - "motivo fast motif counting via succinct color coding and adaptive sampling"
    - "mining frequent patterns in evolving graphs"
    - "motifs in temporal networks"
    - "a motif based approach for identifying controversy"
    - "stream graphs and link streams for the modeling of interactions over time"
    - "higher order organization of complex networks"

Connected through hyperedge HE-2 (induced by source paper "approximately counting and sampling small witnesses using a colourful decision oracle"):
  with members:
    - "counting answers to existential questions"
    - "zeros of holant problems locations and algorithms"
    - "more consequences of falsifying seth and the orthogonal vectors conjecture"
    - "fine grained reductions from approximate counting to decision"
    - "near optimal linear decision trees for k sum and related problems"
    - "edge estimation with independent set oracles"
    - "the hardness of embedding grids and walls"
    - "randomised enumeration of small witnesses using a decision oracle"

Connected through hyperedge HE-3 (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"
    - "finding and counting vertex colored subtrees"
    - "using neighborhood diversity to solve hard problems"
    - "kernelization lower bounds by cross composition"
    - "algorithms for jumbled pattern matching in strings"
    - "known algorithms for edge clique cover are probably optimal"

Connected through hyperedge HE-4 (induced by source paper "some results on more flexible versions of graph motif"):
  with members:
    - "finding and counting vertex colored subtrees"

Connected through hyperedge HE-5 (induced by source paper "representative sets of product families"):
  with members:
    - "faster computation of representative families for uniform matroids with applications"
    - "finding and counting vertex colored subtrees"
    - "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"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "narrow sieves for parameterized paths and packings"

Connected through hyperedge HE-6 (induced by source paper "constrained multilinear detection and generalized graph motifs"):
  with members:
    - "on problems as hard as cnf sat"
    - "finding and counting vertex colored subtrees"
    - "counting perfect matchings as fast as ryser"
    - "narrow sieves for parameterized paths and packings"
    - "determinant sums for undirected hamiltonicity"

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)