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: "the complexity of simulation and matrix multiplication"
  Abstract: Computing the simulation preorder of a given Kripke structure (i.e., a directed graph with $n$ labeled vertices) has crucial applications in model checking of temporal logic. It amounts to solving a specific two-players reachability game, called simulation game. We offer the first conditional lower bounds for this problem, and we relate its complexity (for computation, verification, and certification) to some variants of $n\times n$ matrix multiplication. #R##N#We show that any $O(n^{\alpha})$-time algorithm for simulation games, even restricting to acyclic games/structures, can be used to compute $n\times n$ boolean matrix multiplication (BMM) in $O(n^{\alpha})$ time. This is the first evidence that improving the existing $O(n^{3})$-time solutions may be difficult, without resorting to fast matrix multiplication. In the acyclic case, we match this lower bound presenting the first subcubic algorithm, based on fast BMM, and running in $n^{\omega+o(1)}$ time (where $\omega<2.376$ is the exponent of matrix multiplication). #R##N#For both acyclic and cyclic structures, we point out the existence of natural and canonical $O(n^{2})$-size certificates, that can be verified in truly subcubic time. In the acyclic case, $O(n^{2})$ time is sufficient, employing standard matrix product verification. In the cyclic case, a $\max$-semi-boolean matrix multiplication (MSBMM) is used, i.e., a matrix multiplication on the semi-ring $(\max,\times)$ where one matrix contains only $0$'s and $1$'s. This MSBMM is computable (hence verifiable) in truly subcubic $n^{(3+\omega)/2+o(1)}$ time by reduction to $(\max,\min)$-multiplication. #R##N#Finally, we show a reduction from MSBMM to cyclic simulation games which implies a separation between the cyclic and the acyclic cases, unless MSBMM can be verified in $n^{\omega+o(1)}$ time.

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)