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: "simpler and faster lempel ziv factorization"
  Abstract: We present a new, simple, and efficient approach for computing the Lempel-Ziv (LZ77) factorization of a string in linear time, based on suffix arrays. Computational experiments on various data sets show that our approach constantly outperforms the currently fastest algorithm LZ OG (Ohlebusch and Gog 2011), and can be up to 2 to 3 times faster in the processing after obtaining the suffix array, while requiring the same or a little more space.

Connected through hyperedge HE-1 (induced by source paper "bidirectional text compression in external memory"):
  with members:
    - "lzrr lz77 parsing with right reference"
    - "o n log n time text compression by lz style longest first substitution"
    - "at the roots of dictionary compression string attractors"
    - "compression with the tudocomp framework"
    - "lempel ziv decoding in external memory"
    - "lz end parsing in compressed space"
    - "lightweight lempel ziv parsing"
    - "lempel ziv parsing in external memory"

Connected through hyperedge HE-2 (induced by source paper "inducing the lyndon array"):
  with members:
    - "lyndon array construction during burrows wheeler inversion"
    - "the runs theorem"
    - "algorithms to compute the lyndon array"
    - "inducing the lcp array"

Connected through hyperedge HE-3 (induced by source paper "refining the r index"):
  with members:
    - "conversion from rlbwt to lz77"
    - "fully functional suffix trees and optimal text searching in bwt runs bounded space"
    - "lower bounds for text indexing with mismatches and differences"
    - "efficient construction of a complete index for pan genomics read alignment"
    - "prefix free parsing for building big bwts"
    - "from lz77 to the run length encoded burrows wheeler transform and back"
    - "a framework of dynamic data structures for string processing"
    - "optimal construction of compressed indexes for highly repetitive texts"

Connected through hyperedge HE-4 (induced by source paper "lyndon array construction during burrows wheeler inversion"):
  with members:
    - "algorithms to compute the lyndon array"
    - "space efficient construction of compressed indexes in deterministic linear time"
    - "succinct representations of dynamic strings"
    - "efficient fully compressed sequence representations"
    - "fully functional static and dynamic succinct trees"
    - "succinct indexable dictionaries with applications to encoding k ary trees prefix sums and multisets"

Connected through hyperedge HE-5 (induced by source paper "lempel ziv computation in small space lz ciss"):
  with members:
    - "alphabet dependent string searching with wexponential search trees"
    - "a linear time algorithm for seeds computation"
    - "fully functional static and dynamic succinct trees"
    - "optimal succinctness for range minimum queries"

Connected through hyperedge HE-6 (induced by source paper "a really simple approximation of smallest grammar"):
  with members:
    - "approximation of grammar based compression via recompression"
    - "approximation of smallest linear tree grammar"
    - "linear time lempel ziv factorization simple fast small"
    - "pattern matching in lempel ziv compressed strings fast simple and deterministic"
    - "faster fully compressed pattern matching by recompression"
    - "the similarity metric"
    - "identifying hierarchical structure in sequences a linear time algorithm"

Connected through hyperedge HE-7 (induced by source paper "linear time lempel ziv factorization simple fast small"):
  with members:
    - "lightweight lempel ziv parsing"
    - "faster approximate pattern matching in compressed repetitive texts"
    - "a faster grammar based self index"

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)