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: "linear time algorithm for long lcf with k mismatches"
  Abstract: In the Longest Common Factor with $k$ Mismatches (LCF$_k$) problem, we are given two strings $X$ and $Y$ of total length $n$, and we are asked to find a pair of maximal-length factors, one of $X$ and the other of $Y$, such that their Hamming distance is at most $k$. Thankachan et al. show that this problem can be solved in $\mathcal{O}(n \log^k n)$ time and $\mathcal{O}(n)$ space for constant $k$. We consider the LCF$_k$($\ell$) problem in which we assume that the sought factors have length at least $\ell$, and the LCF$_k$($\ell$) problem for $\ell=\Omega(\log^{2k+2} n)$, which we call the Long LCF$_k$ problem. We use difference covers to reduce the Long LCF$_k$ problem to a task involving $m=\mathcal{O}(n/\log^{k+1}n)$ synchronized factors. The latter can be solved in $\mathcal{O}(m \log^{k+1}m)$ time, which results in a linear-time algorithm for Long LCF$_k$. In general, our solution to LCF$_k$($\ell$) for arbitrary $\ell$ takes $\mathcal{O}(n + n \log^{k+1} n/\sqrt{\ell})$ time.

Connected through hyperedge HE-1 (induced by source paper "longest property preserved common factor"):
  with members:
    - "indexing weighted sequences neat and efficient"
    - "the runs theorem"
    - "a hardness result and new algorithm for the longest common palindromic subsequence problem"
    - "sublinear space algorithms for the longest common substring problem"
    - "computing a longest common palindromic subsequence"

Connected through hyperedge HE-2 (induced by source paper "efficient computation of sequence mappability"):
  with members:
    - "faster algorithms for 1 mappability of a sequence"

Connected through hyperedge HE-3 (induced by source paper "longest common substring with approximately k mismatches"):
  with members:
    - "longest common substrings with k mismatches"
    - "clustered integer 3sum via additive combinatorics"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "sublinear space algorithms for the longest common substring problem"
    - "a note on the longest common substring with k mismatches problem"

Connected through hyperedge HE-4 (induced by source paper "faster algorithms for 1 mappability of a sequence"):
  with members:
    - "efficient computation of sequence mappability"
    - "longest common prefixes with k errors and applications"
    - "on the benefit of merging suffix array intervals for parallel pattern matching"
    - "inducing the lcp array"

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)