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 "optimal time random access to grammar compressed strings in small space"):
  Abstract: The random access problem for compressed strings is to build a data structure that efficiently supports accessing the character in position $i$ of a string given in compressed form. Given a grammar of size $n$ compressing a string of size $N$, we present a data structure using $O(n\Delta \log_\Delta \frac N n \log N)$ bits of space that supports accessing position $i$ in $O(\log_\Delta N)$ time for $\Delta \leq \log^{O(1)} N$. The query time is optimal for polynomially compressible strings, i.e., when $n=O(N^{1-\epsilon})$.

Includes members:
  Member "rank select and access in grammar compressed strings":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "queries on lz bounded encodings")
  Member "dynamic integer sets with optimal rank select and predecessor search":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "o log log n worst case local decoding and update efficiency for data compression")
  Member "data structure lower bounds on random access to grammar compressed strings":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "fully functional suffix trees and optimal text searching in bwt runs bounded space")
  Member "random access to grammar compressed strings":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "local decode and update for big data compression")

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)