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: "approximation of smallest linear tree grammar"
  Abstract: A simple linear-time algorithm for constructing a linear context-free tree grammar of size O(rg + r g log (n/r g))for a given input tree T of size n is presented, where g is the size of a minimal linear context-free tree grammar for T, and r is the maximal rank of symbols in T (which is a constant in many applications). This is the first example of a grammar-based tree compression algorithm with a good, i.e. logarithmic in terms of the size of the input tree, approximation ratio. The analysis of the algorithm uses an extension of the recompression technique from strings to trees.

Connected through hyperedge HE-1 (induced by source paper "repair in compressed space and time"):
  with members:
    - "entropy bounds for grammar compression"
    - "approximation ratio of repair"
    - "practical and effective re pair compression"
    - "restructuring compressed texts without explicit decompression"

Connected through hyperedge HE-2 (induced by source paper "longest common extensions with recompression"):
  with members:
    - "in place longest common extensions"
    - "finger search in grammar compressed strings"
    - "fingerprints in compressed strings"
    - "approximation of grammar based compression via recompression"
    - "one variable word equations in linear time"
    - "recompression a simple and powerful technique for word equations"
    - "faster fully compressed pattern matching by recompression"

Connected through hyperedge HE-3 (induced by source paper "tree compression using string grammars"):
  with members:
    - "tree compression with top trees revisited"
    - "a really simple approximation of smallest grammar"
    - "constructing small tree grammars and small circuits for formulas"
    - "linear compressed pattern matching for polynomial rewriting extended abstract"
    - "approximation of grammar based compression via recompression"
    - "faster fully compressed pattern matching by recompression"
    - "isomorphism of regular trees and words"

Connected through hyperedge HE-4 (induced by source paper "traversing grammar compressed trees with constant delay"):
  with members:
    - "tree compression with top trees revisited"
    - "constructing small tree grammars and small circuits for formulas"
    - "xpath node selection over grammar compressed trees"
    - "faster fully compressed pattern matching by recompression"
    - "fast and tiny structural self indexes for xml"
    - "fully functional static and dynamic succinct trees"

Connected through hyperedge HE-5 (induced by source paper "tree compression with top trees revisited"):
  with members:
    - "from theory to practice plug and play with succinct data structures"
    - "random access to grammar compressed strings"
    - "maintaining information in fully dynamic trees with top trees"

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"
    - "linear time lempel ziv factorization simple fast small"
    - "simpler and faster lempel ziv factorization"
    - "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 "constructing small tree grammars and small circuits for formulas"):
  with members:
    - "traversing grammar compressed trees with constant delay"
    - "tree compression with top trees revisited"
    - "a really simple approximation of smallest grammar"
    - "a universal grammar based code for lossless compression of binary trees"
    - "tree compression with top trees"
    - "approximation of grammar based compression via recompression"
    - "grammar based compression in a streaming model"

Connected through hyperedge HE-8 (induced by source paper "approximation of grammar based compression via recompression"):
  with members:
    - "the complexity of compressed membership problems for finite automata"
    - "one variable word equations in linear time"
    - "recompression a simple and powerful technique for word equations"
    - "pattern matching in lempel ziv compressed strings fast simple and deterministic"
    - "faster fully compressed pattern matching by recompression"
    - "identifying hierarchical structure in sequences a linear time algorithm"

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)