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 succinct grammar compression"
  Abstract: We solve an open problem related to an optimal encoding of a straight line program (SLP), a canonical form of grammar compression deriving a single string deterministically. We show that an information-theoretic lower bound for representing an SLP with n symbols requires at least 2n+logn!+o(n) bits. We then present a succinct representation of an SLP; this representation is asymptotically equivalent to the lower bound. The space is at most 2n log {rho}(1 + o(1)) bits for rho leq 2sqrt{n}, while supporting random access to any production rule of an SLP in O(log log n) time. In addition, we present a novel dynamic data structure associating a digram with a unique symbol. Such a data structure is called a naming function and has been implemented using a hash table that has a space-time tradeoff. Thus, the memory space is mainly occupied by the hash table during the development of production rules. Alternatively, we build a dynamic data structure for the naming function by leveraging the idea behind the wavelet tree. The space is strictly bounded by 2n log n(1 + o(1)) bits, while supporting O(log n) query and update time.

Connected through hyperedge HE-1 (induced by source paper "practical repetition aware grammar compression"):
  with members:
    - "mr repair grammar compression based on maximal repeats"
    - "repair in compressed space and time"
    - "optimal time text indexing in bwt runs bounded space"
    - "scalable partial least squares regression on grammar compressed data matrices"
    - "space efficient re pair compression"
    - "online pattern matching for string edit distance with moves"
    - "compact q gram profiling of compressed strings"
    - "approximation of grammar based compression via recompression"

Connected through hyperedge HE-2 (induced by source paper "the smallest grammar problem revisited"):
  with members:
    - "entropy bounds for grammar compression"
    - "at the roots of dictionary compression string attractors"
    - "approximation of grammar based compression via recompression"
    - "identifying hierarchical structure in sequences a linear time algorithm"

Connected through hyperedge HE-3 (induced by source paper "grammar compressed sequences with rank select support"):
  with members:
    - "queries on lz bounded encodings"
    - "spaces trees and colors the algorithmic landscape of document retrieval on sequences"
    - "compact binary relation representations with rich functionality"
    - "data structure lower bounds on random access to grammar compressed strings"
    - "optimal lower and upper bounds for representing sequences"
    - "on compressing permutations and adaptive sorting"
    - "optimal trade off for succinct string indexes"
    - "efficient fully compressed sequence representations"

Connected through hyperedge HE-4 (induced by source paper "fully online grammar compression in constant space"):
  with members:
    - "fast q gram mining on slp compressed strings"
    - "a unified algorithm for accelerating edit distance computation via text compression"

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)