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: "lightweight lempel ziv parsing"
  Abstract: We introduce a new approach to LZ77 factorization that uses O(n/d) words of working space and O(dn) time for any d >= 1 (for polylogarithmic alphabet sizes). We also describe carefully engineered implementations of alternative approaches to lightweight LZ77 factorization. Extensive experiments show that the new algorithm is superior in most cases, particularly at the lowest memory levels and for highly repetitive data. As a part of the algorithm, we describe new methods for computing matching statistics which may be of independent interest.

Connected through hyperedge HE-1 (induced by source paper "re pair in place"):
  with members:
    - "a study for image compression using re pair algorithm"
    - "a faster external memory priority queue with decreasekeys"
    - "mr repair grammar compression based on maximal repeats"
    - "repair in compressed space and time"
    - "burrows wheeler transform and lcp array construction in constant space"
    - "practical and effective re pair compression"
    - "optimal time and space construction of suffix arrays and lcp arrays for integer alphabets"
    - "optimal in place suffix sorting"

Connected through hyperedge HE-2 (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"
    - "lempel ziv parsing in external memory"
    - "simpler and faster lempel ziv factorization"

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 "practical evaluation of lempel ziv 78 and lempel ziv welch tries"):
  with members:
    - "dynamic space efficient hashing"
    - "compression with the tudocomp framework"
    - "faster 64 bit universal hashing using carry less multiplications"
    - "space efficient construction of compressed indexes in deterministic linear time"
    - "range predecessor and lempel ziv parsing"
    - "lempel ziv computation in compressed space lz cics"
    - "alphabet dependent string searching with wexponential search trees"
    - "lz compressed string dictionaries"

Connected through hyperedge HE-5 (induced by source paper "lz end parsing in compressed space"):
  with members:
    - "faster lightweight lempel ziv parsing"
    - "range predecessor and lempel ziv parsing"
    - "approximating lz77 via small space multiple pattern matching"
    - "lempel ziv parsing in external memory"

Connected through hyperedge HE-6 (induced by source paper "range predecessor and lempel ziv parsing"):
  with members:
    - "faster lightweight lempel ziv parsing"
    - "wavelet trees meet suffix trees"
    - "linear time construction of compressed text indices in compact space"
    - "queries on lz bounded encodings"
    - "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-7 (induced by source paper "lempel ziv computation in compressed space lz cics"):
  with members:
    - "faster lightweight lempel ziv parsing"
    - "range predecessor and lempel ziv parsing"
    - "linear time construction of compressed text indices in compact space"
    - "alphabet dependent string searching with wexponential search trees"
    - "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-8 (induced by source paper "faster lightweight lempel ziv parsing"):
  with members:
    - "lempel ziv computation in small space lz ciss"
    - "lempel ziv factorization may be harder than computing all runs"
    - "faster compact on line lempel ziv factorization"
    - "succinct dictionary matching with no slowdown"
    - "fully functional static and dynamic succinct trees"

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)