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: "fast q gram mining on slp compressed strings"
  Abstract: We present simple and efficient algorithms for calculating $q$-gram frequencies on strings represented in compressed form, namely, as a straight line program (SLP). Given an SLP of size $n$ that represents string $T$, we present an $O(qn)$ time and space algorithm that computes the occurrence frequencies of $q$-grams in $T$. Computational experiments show that our algorithm and its variation are practical for small $q$, actually running faster on various real string data, compared to algorithms that work on the uncompressed text. We also discuss applications in data mining and classification of string data, for which our algorithms can be useful.

Connected through hyperedge HE-1 (induced by source paper "compressed range minimum queries"):
  with members:
    - "balancing straight line programs"
    - "tree compression using string grammars"
    - "on succinct representations of binary trees"
    - "maintaining information in fully dynamic trees with top trees"

Connected through hyperedge HE-2 (induced by source paper "optimal time and space construction of suffix arrays and lcp arrays for integer alphabets"):
  with members:
    - "optimal in place suffix sorting"

Connected through hyperedge HE-3 (induced by source paper "rank select and access in grammar compressed strings"):
  with members:
    - "compressed subsequence matching and packed tree coloring"
    - "compact q gram profiling of compressed strings"
    - "spaces trees and colors the algorithmic landscape of document retrieval on sequences"
    - "data structure lower bounds on random access to grammar compressed strings"
    - "improved grammar based compressed indexes"
    - "unified compression based acceleration of edit distance computation"
    - "random access to grammar compressed strings"
    - "succinct indexable dictionaries with applications to encoding k ary trees prefix sums and multisets"

Connected through hyperedge HE-4 (induced by source paper "improved esp index a practical self index for highly repetitive texts"):
  with members:
    - "on compressing permutations and adaptive sorting"
    - "improved grammar based compressed indexes"
    - "a unified algorithm for accelerating edit distance computation via text compression"
    - "succinct indexable dictionaries with applications to encoding k ary trees prefix sums and multisets"

Connected through hyperedge HE-5 (induced by source paper "fully online grammar compression in constant space"):
  with members:
    - "a succinct grammar compression"
    - "a unified algorithm for accelerating edit distance computation via text compression"

Connected through hyperedge HE-6 (induced by source paper "compact q gram profiling of compressed strings"):
  with members:
    - "speeding up q gram mining on grammar based compressed texts"

Connected through hyperedge HE-7 (induced by source paper "efficient lz78 factorization of grammar compressed text"):
  with members:
    - "speeding up q gram mining on grammar based compressed texts"
    - "lyndon words and short superstrings"
    - "a bijective string sorting transform"
    - "tying up the loose ends in fully lzw compressed pattern matching"
    - "pattern matching in lempel ziv compressed strings fast simple and deterministic"
    - "faster fully compressed pattern matching by recompression"
    - "random access to grammar compressed strings"
    - "on bijective variants of the burrows wheeler transform"

Connected through hyperedge HE-8 (induced by source paper "speeding up q gram mining on grammar based compressed texts"):
  with members:
    - "pattern matching in lempel ziv compressed strings fast simple and deterministic"
    - "a unified algorithm for accelerating edit distance computation via text compression"

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)