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 encodings for range top k selection and min max"
  Abstract: We consider encoding problems for range queries on arrays. In these problems the goal is to store a structure capable of recovering the answer to all queries that occupies the information theoretic minimum space possible, to within lower order terms. As input, we are given an array $A[1..n]$, and a fixed parameter $k \in [1,n]$. A range top-$k$ query on an arbitrary range $[i,j] \subseteq [1,n]$ asks us to return the ordered set of indices $\{\ell_1, ..., \ell_{k}\}$ such that $A[\ell_m]$ is the $m$-th largest element in $A[i..j]$, for $1 \le m \le k$. A range selection query for an arbitrary range $[i,j] \subseteq [1,n]$ and query parameter $k' \in [1,k]$ asks us to return the index of the $k'$-th largest element in $A[i..j]$. We completely resolve the space complexity of both of these heavily studied problems---to within lower order terms---for all $k = o(n)$. Previously, the constant factor in the space complexity was known only for $k=1$. We also resolve the space complexity of another problem, that we call range min-max, in which the goal is to return the indices of both the minimum and maximum elements in a range.

Connected through hyperedge HE-1 (induced by source paper "the effective entropy of next previous larger smaller value queries"):
  with members:
    - "simultaneous encodings for range and next previous larger smaller value queries"
    - "an encoding for order preserving matching"
    - "combined data structure for previous and next smaller values"

Connected through hyperedge HE-2 (induced by source paper "encoding two dimensional range top k queries revisited"):
  with members:
    - "encodings of range maximum sum segment queries and applications"

Connected through hyperedge HE-3 (induced by source paper "simultaneous encodings for range and next previous larger smaller value queries"):
  with members:
    - "encoding 2 d range maximum queries"
    - "combined data structure for previous and next smaller values"
    - "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)