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: "succinct representations of permutations and functions"
  Abstract: We investigate the problem of succinctly representing an arbitrary permutation, \pi, on {0,...,n-1} so that \pi^k(i) can be computed quickly for any i and any (positive or negative) integer power k. A representation taking (1+\epsilon) n lg n + O(1) bits suffices to compute arbitrary powers in constant time, for any positive constant \epsilon <= 1. A representation taking the optimal \ceil{\lg n!} + o(n) bits can be used to compute arbitrary powers in O(lg n / lg lg n) time. #R##N#We then consider the more general problem of succinctly representing an arbitrary function, f: [n] \rightarrow [n] so that f^k(i) can be computed quickly for any i and any integer power k. We give a representation that takes (1+\epsilon) n lg n + O(1) bits, for any positive constant \epsilon <= 1, and computes arbitrary positive powers in constant time. It can also be used to compute f^k(i), for any negative integer k, in optimal O(1+|f^k(i)|) time. #R##N#We place emphasis on the redundancy, or the space beyond the information-theoretic lower bound that the data structure uses in order to support operations efficiently. A number of lower bounds have recently been shown on the redundancy of data structures. These lower bounds confirm the space-time optimality of some of our solutions. Furthermore, the redundancy of one of our structures "surpasses" a recent lower bound by Golynski [Golynski, SODA 2009], thus demonstrating the limitations of this lower bound.

Connected through hyperedge HE-1 (induced by source paper "path query data structures in practice"):
  with members:
    - "aggregated 2d range queries on clustered points"
    - "orthogonal range searching on the ram revisited"
    - "range quantile queries another virtue of wavelet trees"
    - "succinct indexable dictionaries with applications to encoding k ary trees prefix sums and multisets"
    - "range mode and range median queries on lists and trees"

Connected through hyperedge HE-2 (induced by source paper "energy consumption in compact integer vectors a study case"):
  with members:
    - "energy efficient algorithms"
    - "compact binary relation representations with rich functionality"
    - "optimal lower and upper bounds for representing sequences"
    - "on compressing permutations and adaptive sorting"
    - "orthogonal range searching on the ram revisited"
    - "fully functional static and dynamic succinct trees"
    - "succinct indexable dictionaries with applications to encoding k ary trees prefix sums and multisets"
    - "practical entropy compressed rank select dictionary"

Connected through hyperedge HE-3 (induced by source paper "indexing graph search trees and applications"):
  with members:
    - "succinct data structures for families of interval graphs"
    - "improved space efficient linear time algorithms for some classical graph problems"
    - "biconnectivity st numbering and other applications of dfs using o n bits"
    - "space efficient biconnected components and recognition of outerplanar graphs"
    - "fast and compact planar embeddings"

Connected through hyperedge HE-4 (induced by source paper "gract a grammar based compressed index for trajectory data"):
  with members:
    - "one pass error bounded trajectory simplification"
    - "gract a grammar based compressed representation of trajectories"
    - "queries on lz bounded encodings"
    - "press a novel framework of trajectory compression in road networks"
    - "from theory to practice plug and play with succinct data structures"

Connected through hyperedge HE-5 (induced by source paper "compact data structures for shortest unique substring queries"):
  with members:
    - "a faster implementation of online run length burrows wheeler transform"
    - "optimal construction of compressed indexes for highly repetitive texts"
    - "space efficient construction of compressed indexes in deterministic linear time"
    - "an in place framework for exact and approximate shortest unique substring queries"

Connected through hyperedge HE-6 (induced by source paper "succinct representation for non deterministic finite automata"):
  with members:
    - "succinct data structures for families of interval graphs"
    - "fully functional static and dynamic succinct trees"
    - "succinct indexable dictionaries with applications to encoding k ary trees prefix sums and multisets"

Connected through hyperedge HE-7 (induced by source paper "local decodability of the burrows wheeler transform"):
  with members:
    - "optimal time text indexing in bwt runs bounded space"
    - "fingerprints in compressed strings"
    - "a simple online competitive adaptation of lempel ziv compression with efficient random access support"
    - "cell probe lower bounds for prefix sums"

Connected through hyperedge HE-8 (induced by source paper "extra space during initialization of succinct data structures and of dynamical initializable arrays"):
  with members:
    - "linear time in place dfs and bfs on the word ram"
    - "in place initializable arrays"
    - "frameworks for designing in place graph algorithms"
    - "succinct choice dictionaries"

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)