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: "indexes for jumbled pattern matching in strings trees and graphs"
  Abstract: We consider how to index strings, trees and graphs for jumbled pattern matching when we are asked to return a match if one exists. For example, we show how, given a tree containing two colours, we can build a quadratic-space index with which we can find a match in time proportional to the size of the match. We also show how we need only linear space if we are content with approximate matches.

Connected through hyperedge HE-1 (induced by source paper "finding temporal patterns using algebraic fingerprints"):
  with members:
    - "approximately counting and sampling small witnesses using a colourful decision oracle"
    - "the computational complexity of finding temporal paths under waiting time constraints"
    - "motivo fast motif counting via succinct color coding and adaptive sampling"
    - "mining frequent patterns in evolving graphs"
    - "motifs in temporal networks"
    - "a motif based approach for identifying controversy"
    - "stream graphs and link streams for the modeling of interactions over time"
    - "higher order organization of complex networks"

Connected through hyperedge HE-2 (induced by source paper "on prefix normal words and prefix normal forms"):
  with members:
    - "clustered integer 3sum via additive combinatorics"
    - "on combinatorial generation of prefix normal words"
    - "normal abby normal prefix normal"
    - "binary jumbled pattern matching via all pairs shortest paths"
    - "new algorithms for binary jumbled pattern matching"
    - "binary jumbled string matching for highly run length compressible texts"
    - "binary jumbled pattern matching on trees and tree like structures"
    - "algorithms for jumbled pattern matching in strings"

Connected through hyperedge HE-3 (induced by source paper "fast and simple jumbled indexing for binary rle strings"):
  with members:
    - "computing abelian regularities on rle strings"
    - "clustered integer 3sum via additive combinatorics"
    - "binary jumbled pattern matching via all pairs shortest paths"

Connected through hyperedge HE-4 (induced by source paper "normal abby normal prefix normal"):
  with members:
    - "on combinatorial generation of prefix normal words"
    - "binary jumbled pattern matching via all pairs shortest paths"
    - "new algorithms for binary jumbled pattern matching"
    - "binary jumbled string matching for highly run length compressible texts"
    - "binary jumbled pattern matching on trees and tree like structures"
    - "on prefix normal words"

Connected through hyperedge HE-5 (induced by source paper "on combinatorial generation of prefix normal words"):
  with members:
    - "new algorithms for binary jumbled pattern matching"
    - "binary jumbled string matching for highly run length compressible texts"
    - "binary jumbled pattern matching on trees and tree like structures"
    - "on prefix normal words"

Connected through hyperedge HE-6 (induced by source paper "binary jumbled pattern matching on trees and tree like structures"):
  with members:
    - "on hardness of jumbled indexing"
    - "new algorithms for binary jumbled pattern matching"
    - "binary jumbled string matching for highly run length compressible texts"
    - "algorithms for jumbled pattern matching in strings"

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)