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: "ranked enumeration of minimal triangulations"
  Abstract: Tree decompositions facilitate computations on complex graphs by grouping vertices into bags interconnected in an acyclic structure; hence their importance in a plethora of problems such as query evaluation over databases and inference over probabilistic graphical models. Different applications take varying benefits from different tree decompositions, and hence, measure them by diverse (sometime complex) cost functions. For generic cost functions (such as width or fill-in), an optimal tree decomposition can be computed in some cases, notably when the number of minimal separators is bounded by a polynomial (due to Bouchitte and Todinca); we refer to this assumption as "poly-MS." Yet, in general, finding an optimal tree decomposition is computationally intractable even for these cost functions, and approximations or heuristics are commonly used. Furthermore, the generic cost functions hardly cover the benefit measures needed in practice. Therefore, it has recently been proposed to devise algorithms for enumerating many decomposition candidates for applications to select from using specialized, or even machine-learned, cost functions. #R##N#We present the first algorithm for enumerating the minimal triangulations of a graph by increasing cost, for a wide class of cost functions. Consequently, we get ranked enumeration of the (non-redundant) tree decompositions of a graph, for a class of cost functions that substantially generalizes the above generic ones. On the theoretical side, we establish the guarantee of polynomial delay if poly-MS is assumed, or if we are interested only in decompositions of a width bounded by a constant. Lastly, we describe an experimental evaluation on graphs of various domains (join queries, Bayesian networks and random graphs), and explore both the applicability of the poly-MS assumption and the performance of our algorithm relative to the state of the art.

Connected through hyperedge HE-1 (induced by source paper "potential maximal cliques parameterized by edge clique cover"):
  with members:
    - "hyperbench a benchmark and tool for hypergraphs and empirical findings"
    - "constraint solving via fractional edge covers"
    - "on the tractability of optimization problems on h graphs"
    - "positive instance driven dynamic programming for treewidth"
    - "on distance d independent set and other problems in graphs with few minimal separators"
    - "general and fractional hypertree decompositions hard and easy cases"
    - "on the number of minimal separators in graphs"
    - "algorithms parameterized by vertex cover and modular width through potential maximal cliques"

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)