human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "finger search random access and longest common extensions in grammar compressed strings"):
  Abstract: Grammar-based compression, where one replaces a long string by a small context-free grammar that generates the string, is a simple and powerful paradigm that captures many popular compression schemes. In this paper, we present new representations of grammars that supports efficient finger search style access, random access, and longest common extensions queries. Let $S$ be a string of length $N$ compressed into a context-free grammar $\mathcal{S}$ of size $n$. We present the following. #R##N#- An $O(n)$ space representation that supports setting a finger at any position $f$ in $O(\log N)$ time, and subsequently supporting access to any position $i$ in time $O(\log |f - i|)$. #R##N#- An $O(N^\epsilon n^{1-\epsilon})$ space representation that supports random access to any position in constant time. #R##N#- Two representations that support longest common extensions queries in either $O(N^{\frac{1}{2}+\epsilon} n^{\frac{1}{2}-\epsilon})$ space and $O(1)$ time or $O(n)$ space and $O(\log N + \log^2 \ell)$ time where $\ell$ is the length of the longest common extension. #R##N#All of the above bounds significantly improve the currently best known results. To achieve the bounds we introduce several new data structural techniques of independent interest, including a new van Emde Boas style decomposition for grammars.

Includes members:
  Member "fingerprints in compressed strings":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "local decodability of the burrows wheeler transform")
  Member "data structure lower bounds on random access to grammar compressed strings":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "fully functional suffix trees and optimal text searching in bwt runs bounded space")

Question: Please tell me which class the source paper 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)