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: "binary jumbled pattern matching via all pairs shortest paths"
  Abstract: In binary jumbled pattern matching we wish to preprocess a binary string $S$ in order to answer queries $(i,j)$ which ask for a substring of $S$ that is of size $i$ and has exactly $j$ 1-bits. The problem naturally generalizes to node-labeled trees and graphs by replacing "substring" with "connected subgraph". #R##N#In this paper, we give an ${n^2}/{2^{\Omega(\log n/\log \log n)^{1/2}}}$ time solution for both strings and trees. This odd-looking time complexity improves the state of the art $O(n^2/\log^2 n)$ solutions by more than any poly-logarithmic factor. It originates from the recent seminal algorithm of Williams for min-plus matrix multiplication. We obtain the result by giving a black box reduction from trees to strings. This is then combined with a reduction from strings to min-plus matrix multiplications.

Connected through hyperedge HE-1 (induced by source paper "on abelian longest common factor with and without rle"):
  with members:
    - "computing abelian regularities on rle strings"
    - "clustered integer 3sum via additive combinatorics"
    - "algorithms for longest common abelian factors"
    - "new algorithms for binary jumbled pattern matching"
    - "binary jumbled string matching for highly run length compressible texts"
    - "algorithms for jumbled pattern matching in strings"

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"
    - "new algorithms for binary jumbled pattern matching"
    - "indexes for jumbled pattern matching in strings trees and graphs"
    - "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 "how hard is it to find honest witnesses"):
  with members:
    - "clustered integer 3sum via additive combinatorics"
    - "threesomes degenerates and love triangles"
    - "powers of tensors and fast matrix multiplication"
    - "on hardness of jumbled indexing"
    - "higher lower bounds from the 3sum conjecture"
    - "exact weight subgraphs and the k sum conjecture"
    - "faster all pairs shortest paths via circuit complexity"

Connected through hyperedge HE-4 (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"
    - "indexes for jumbled pattern matching in strings trees and graphs"

Connected through hyperedge HE-5 (induced by source paper "normal abby normal prefix normal"):
  with members:
    - "on combinatorial generation of prefix normal words"
    - "new algorithms for binary jumbled pattern matching"
    - "indexes for jumbled pattern matching in strings trees and graphs"
    - "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 "on hardness of jumbled indexing"):
  with members:
    - "faster all pairs shortest paths via circuit complexity"
    - "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"

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)