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: "faster lightweight lempel ziv parsing"
  Abstract: We present an algorithm that computes the Lempel-Ziv decomposition in $O(n(\log\sigma + \log\log n))$ time and $n\log\sigma + \epsilon n$ bits of space, where $\epsilon$ is a constant rational parameter, $n$ is the length of the input string, and $\sigma$ is the alphabet size. The $n\log\sigma$ bits in the space bound are for the input string itself which is treated as read-only.

Connected through hyperedge HE-1 (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-2 (induced by source paper "lz end parsing in compressed space"):
  with members:
    - "range predecessor and lempel ziv parsing"
    - "approximating lz77 via small space multiple pattern matching"
    - "lightweight lempel ziv parsing"
    - "lempel ziv parsing in external memory"

Connected through hyperedge HE-3 (induced by source paper "range predecessor and lempel ziv parsing"):
  with members:
    - "wavelet trees meet suffix trees"
    - "linear time construction of compressed text indices in compact space"
    - "queries on lz bounded encodings"
    - "lightweight lempel ziv parsing"
    - "faster compact on line lempel ziv factorization"
    - "linear time lempel ziv factorization simple fast small"
    - "succinct indices for range queries with applications to orthogonal range maxima"
    - "sorted range reporting"

Connected through hyperedge HE-4 (induced by source paper "lempel ziv computation in compressed space lz cics"):
  with members:
    - "range predecessor and lempel ziv parsing"
    - "linear time construction of compressed text indices in compact space"
    - "alphabet dependent string searching with wexponential search trees"
    - "lightweight lempel ziv parsing"
    - "the rightmost equal cost position problem"
    - "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 "computing runs on a general alphabet"):
  with members:
    - "the runs theorem"
    - "online detection of repetitions with backtracking"
    - "lempel ziv factorization may be harder than computing all runs"

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)