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: "optimal dynamic sequence representations"
  Abstract: We describe a data structure that supports access, rank and select queries, as well as symbol insertions and deletions, on a string $S[1,n]$ over alphabet $[1..\sigma]$ in time $O(\lg n/\lg\lg n)$, which is optimal even on binary sequences and in the amortized sense. Our time is worst-case for the queries and amortized for the updates. This complexity is better than the best previous ones by a $\Theta(1+\lg\sigma/\lg\lg n)$ factor. We also design a variant where times are worst-case, yet rank and updates take $O(\lg n)$ time. Our structure uses $nH_0(S)+o(n\lg\sigma) + O(\sigma\lg n)$ bits, where $H_0(S)$ is the zero-order entropy of $S$. Finally, we pursue various extensions and applications of the result.

Connected through hyperedge HE-1 (induced by source paper "o log log n worst case local decoding and update efficiency for data compression"):
  with members:
    - "how to store a random walk"
    - "dynamic integer sets with optimal rank select and predecessor search"
    - "on locally decodable source coding"

Connected through hyperedge HE-2 (induced by source paper "local decode and update for big data compression"):
  with members:
    - "how to store a random walk"
    - "set membership with non adaptive bit probes"
    - "compressed data structures for dynamic sequences"
    - "set membership with a few bit probes"
    - "bounds on the parameters of locally recoverable codes"
    - "a family of optimal locally recoverable codes"
    - "update efficiency and local repairability limits for capacity approaching codes"
    - "on locally decodable source coding"

Connected through hyperedge HE-3 (induced by source paper "space efficient construction of compressed suffix trees"):
  with members:
    - "space efficient computation of the lcp array from the burrows wheeler transform"
    - "detecting mutations by ebwt"
    - "external memory bwt and lcp computation for sequence collections with applications"
    - "linear time string indexing and analysis in small space"
    - "space efficient construction of compressed indexes in deterministic linear time"
    - "lightweight lcp construction for very large collections of strings"
    - "linear time construction of compressed text indices in compact space"

Connected through hyperedge HE-4 (induced by source paper "regular languages meet prefix sorting"):
  with members:
    - "on the hardness and inapproximability of recognizing wheeler graphs"
    - "optimal time text indexing in bwt runs bounded space"
    - "which regular expression patterns are hard to match"
    - "improved grammar based compressed indexes"

Connected through hyperedge HE-5 (induced by source paper "towards better compressed representations"):
  with members:
    - "entropy bounds for grammar compression"
    - "cram compressed random access memory"

Connected through hyperedge HE-6 (induced by source paper "burrows wheeler transform and lcp array construction in constant space"):
  with members:
    - "linear time string indexing and analysis in small space"
    - "low space external memory construction of the succinct permuted longest common prefix array"
    - "faster average case low memory semi external construction of the burrows wheeler transform"
    - "space efficient construction of compressed indexes in deterministic linear time"
    - "in place longest common extensions"
    - "lightweight lcp construction for very large collections of strings"
    - "linear time construction of compressed text indices in compact space"
    - "lightweight lcp construction for next generation sequencing datasets"

Connected through hyperedge HE-7 (induced by source paper "linear time string indexing and analysis in small space"):
  with members:
    - "string synchronizing sets sublinear time bwt construction and optimal lce data structure"
    - "space efficient construction of compressed indexes in deterministic linear time"
    - "a framework for space efficient string kernels"
    - "linear time construction of compressed text indices in compact space"
    - "linear time computation of minimal absent words using suffix array"
    - "combined data structure for previous and next smaller values"
    - "more haste less waste lowering the redundancy in fully indexable dictionaries"
    - "optimal succinctness for range minimum queries"

Connected through hyperedge HE-8 (induced by source paper "space efficient construction of compressed indexes in deterministic linear time"):
  with members:
    - "linear time string indexing and analysis in small space"
    - "range predecessor and lempel ziv parsing"
    - "dynamic data structures for document collections and graphs"
    - "linear time construction of compressed text indices in compact space"
    - "efficient fully compressed sequence representations"
    - "more haste less waste lowering the redundancy in fully indexable dictionaries"
    - "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)