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: "compressed subsequence matching and packed tree coloring"
  Abstract: We present a new algorithm for subsequence matching in grammar compressed strings. Given a grammar of size $n$ compressing a string of size $N$ and a pattern string of size $m$ over an alphabet of size $\sigma$, our algorithm uses $O(n+\frac{n\sigma}{w})$ space and $O(n+\frac{n\sigma}{w}+m\log N\log w\cdot occ)$ or $O(n+\frac{n\sigma}{w}\log w+m\log N\cdot occ)$ time. Here $w$ is the word size and $occ$ is the number of occurrences of the pattern. Our algorithm uses less space than previous algorithms and is also faster for $occ=o(\frac{n}{\log N})$ occurrences. The algorithm uses a new data structure that allows us to efficiently find the next occurrence of a given character after a given position in a compressed string. This data structure in turn is based on a new data structure for the tree color problem, where the node colors are packed in bit strings.

Connected through hyperedge HE-1 (induced by source paper "balancing straight line programs"):
  with members:
    - "compressed range minimum queries"
    - "top tree compression of tries"
    - "grammar based compression of unranked trees"
    - "a universal tree balancing theorem"
    - "tree compression with top trees revisited"
    - "a really simple approximation of smallest grammar"
    - "approximation of grammar based compression via recompression"
    - "faster fully compressed pattern matching by recompression"

Connected through hyperedge HE-2 (induced by source paper "fine grained complexity of analyzing compressed data quantifying improvements over decompress and solve"):
  with members:
    - "truly sub cubic algorithms for language edit distance and rna folding via fast bounded difference min plus product"
    - "why is it hard to beat o n 2 for longest common weakly increasing subsequence"
    - "a dichotomy for regular expression membership testing"
    - "conditional lower bound for rna folding problem"
    - "the k mismatch problem revisited"
    - "clustered integer 3sum via additive combinatorics"
    - "which regular expression patterns are hard to match"
    - "simulating branching programs with edit distance and friends or a polylog shaved is a lower bound made"

Connected through hyperedge HE-3 (induced by source paper "succinct data structure for nearest colored node in a tree"):
  with members:
    - "efficient vertex label distance oracles for planar graphs"
    - "succinct representation of labeled trees"
    - "the power of dynamic distance oracles efficient dynamic algorithms for the steiner tree"
    - "new lower and upper bounds for representing sequences"
    - "improved distance oracles and spanners for vertex labeled graphs"
    - "optimal succinctness for range minimum queries"

Connected through hyperedge HE-4 (induced by source paper "finger search in grammar compressed strings"):
  with members:
    - "fully dynamic data structure for lce queries in compressed space"
    - "dynamic index lz factorization and lce queries in compressed space"
    - "queries on lz bounded encodings"
    - "computing convolution on grammar compressed text"
    - "fingerprints in compressed strings"
    - "data structure lower bounds on random access to grammar compressed strings"
    - "a faster grammar based self index"
    - "identifying hierarchical structure in sequences a linear time algorithm"

Connected through hyperedge HE-5 (induced by source paper "rank select and access in grammar compressed strings"):
  with members:
    - "compact q gram profiling of compressed strings"
    - "spaces trees and colors the algorithmic landscape of document retrieval on sequences"
    - "data structure lower bounds on random access to grammar compressed strings"
    - "improved grammar based compressed indexes"
    - "fast q gram mining on slp compressed strings"
    - "unified compression based acceleration of edit distance computation"
    - "random access to grammar compressed strings"
    - "succinct indexable dictionaries with applications to encoding k ary trees prefix sums and multisets"

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)