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: "a bijective string sorting transform"
  Abstract: Given a string of characters, the Burrows-Wheeler Transform rearranges the characters in it so as to produce another string of the same length which is more amenable to compression techniques such as move to front, run-length encoding, and entropy encoders. We present a variant of the transform which gives rise to similar or better compression value, but, unlike the original, the transform we present is bijective, in that the inverse transformation exists for all strings. Our experiments indicate that using our variant of the transform gives rise to better compression ratio than the original Burrows-Wheeler transform. We also show that both the transform and its inverse can be computed in linear time and consuming linear storage.

Connected through hyperedge HE-1 (induced by source paper "lyndon words versus inverse lyndon words queries on suffixes and bordered words"):
  with members:
    - "some variations on lyndon words"
    - "inverse lyndon words and inverse lyndon factorizations of words"
    - "on generalized lyndon words"
    - "the runs theorem"
    - "fsg fast string graph construction for de novo assembly of reads data"
    - "on the size of lempel ziv and lyndon factorizations"
    - "an external memory algorithm for string graph construction"
    - "alternative algorithms for lyndon factorization"

Connected through hyperedge HE-2 (induced by source paper "constructing the bijective bwt"):
  with members:
    - "on generalized lyndon words"
    - "optimal time text indexing in bwt runs bounded space"
    - "on bijective variants of the burrows wheeler transform"

Connected through hyperedge HE-3 (induced by source paper "inverse lyndon words and inverse lyndon factorizations of words"):
  with members:
    - "on the size of lempel ziv and lyndon factorizations"
    - "alternative algorithms for lyndon factorization"
    - "sorting suffixes of a text via its lyndon factorization"
    - "lyndon words and short superstrings"
    - "on bijective variants of the burrows wheeler transform"
    - "a note on the burrows wheeler transformation"

Connected through hyperedge HE-4 (induced by source paper "on the size of lempel ziv and lyndon factorizations"):
  with members:
    - "diverse palindromic factorization is np complete"
    - "circle formation of weak robots and lyndon words"

Connected through hyperedge HE-5 (induced by source paper "alternative algorithms for lyndon factorization"):
  with members:
    - "on bijective variants of the burrows wheeler transform"

Connected through hyperedge HE-6 (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"
    - "fast q gram mining on slp compressed strings"
    - "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-7 (induced by source paper "on bijective variants of the burrows wheeler transform"):
  with members:
    - "a note on the burrows wheeler transformation"

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)