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: "an encoding for order preserving matching"
  Abstract: Encoding data structures store enough information to answer the queries they are meant to support but not enough to recover their underlying datasets. In this paper we give the first encoding data structure for the challenging problem of order-preserving pattern matching. This problem was introduced only a few years ago but has already attracted significant attention because of its applications in data analysis. Two strings are said to be an order-preserving match if the {\em relative order} of their characters is the same: e.g., $4, 1, 3, 2$ and $10, 3, 7, 5$ are an order-preserving match. We show how, given a string $S [1..n]$ over an arbitrary alphabet and a constant $c \geq 1$, we can build an $O (n \log \log n)$-bit encoding such that later, given a pattern $P [1..m]$ with $m \leq \lg^c n$, we can return the number of order-preserving occurrences of $P$ in $S$ in $O (m)$ time. Within the same time bound we can also return the starting position of some order-preserving match for $P$ in $S$ (if such a match exists). We prove that our space bound is within a constant factor of optimal; our query time is optimal if $\log \sigma = \Omega(\log n)$. Our space bound contrasts with the $\Omega (n \log n)$ bits needed in the worst case to store $S$ itself, an index for order-preserving pattern matching with no restrictions on the pattern length, or an index for standard pattern matching even with restrictions on the pattern length. Moreover, we can build our encoding knowing only how each character compares to $O (\lg^c n)$ neighbouring characters.

Connected through hyperedge HE-1 (induced by source paper "string periods in the order preserving model"):
  with members:
    - "a note on easy and efficient computation of full abelian periods of a word"
    - "efficient algorithms for the order preserving pattern matching problem"
    - "algorithms for computing abelian periods of words"
    - "single and multiple consecutive permutation motif search"
    - "a note on efficient computation of all abelian periods in a string"

Connected through hyperedge HE-2 (induced by source paper "the effective entropy of next previous larger smaller value queries"):
  with members:
    - "simultaneous encodings for range and next previous larger smaller value queries"
    - "optimal encodings for range top k selection and min max"
    - "combined data structure for previous and next smaller values"

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)