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: "parameterized pattern matching succinctly"
  Abstract: We consider the $Parameterized$ $Pattern$ $Matching$ problem, where a pattern $P$ matches some location in a text $\mathsf{T}$ iff there is a one-to-one correspondence between the alphabet symbols of the pattern to those of the text. More specifically, assume that the text $\mathsf{T}$ contains $n$ characters from a static alphabet $\Sigma_s$ and a parameterized alphabet $\Sigma_p$, where $\Sigma_s \cap \Sigma_p = \varnothing$ and $|\Sigma_s \cup \Sigma_p|=\sigma$. A pattern $P$ matches a substring $S$ of $\mathsf{T}$ iff the static characters match exactly, and there exists a one-to-one function that renames the parameterized characters in $S$ to that in $P$. Previous indexing solution [Baker, STOC 1993], known as $Parameterized$ $Suffix$ $Tree$, requires $\Theta(n\log n)$ bits of space, and can find all $occ$ occurrences of $P$ in $\mathcal{O}(|P|\log \sigma+ occ)$ time. In this paper, we present the first succinct index that occupies $n \log \sigma + \mathcal{O}(n)$ bits and answers queries in $\mathcal{O}((|P|+ occ\cdot \log n) \log\sigma\log \log \sigma)$ time. We also present a compact index that occupies $\mathcal{O}(n\log\sigma)$ bits and answers queries in $\mathcal{O}(|P|\log \sigma+ occ\cdot \log n)$ time. Furthermore, the techniques are extended to obtain the first succinct representation of the index of Shibuya for $Structural$ $Matching$ [SWAT, 2000], and of Idury and Sch\"{a}ffer for $Parameterized$ $Dictionary$ $Matching$ [CPM, 1994].

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)