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: "longest common substrings with k mismatches"
  Abstract: The longest common substring with k-mismatches problem is to find, given two strings S 1 and S 2 , a longest substring A 1 of S 1 and A 2 of S 2 such that the Hamming distance between A 1 and A 2 is ?k. We introduce a practical O ( n m ) time and O ( 1 ) space solution for this problem, where n and m are the lengths of S 1 and S 2 , respectively. This algorithm can also be used to compute the matching statistics with k-mismatches of S 1 and S 2 in O ( n m ) time and O ( m ) space. Moreover, we also present a theoretical solution for the k = 1 case which runs in O ( n log ? m ) time, assuming m ? n , and uses O ( m ) space, improving over the existing O ( n m ) time and O ( m ) space bound of Babenko and Starikovskaya 1]. Two new algorithms for the longest common substring with k mismatches problem.A practical solution for arbitrary k which uses constant space.A theoretical solution for one mismatch which runs in quasilinear time.

Connected through hyperedge HE-1 (induced by source paper "time space tradeoffs for finding a long common substring"):
  with members:
    - "faster queries for longest substring palindrome after block edit"
    - "locally consistent parsing for text indexing in small space"
    - "longest common substring made fully dynamic"
    - "sparse suffix tree construction in optimal time and space"
    - "approximating lz77 via small space multiple pattern matching"
    - "sublinear space algorithms for the longest common substring problem"

Connected through hyperedge HE-2 (induced by source paper "longest alignment with edits in data streams"):
  with members:
    - "streaming for aibohphobes longest palindrome with mismatches"
    - "tight tradeoffs for real time approximation of longest palindromes in streams"
    - "streaming algorithms for computing edit distance without exploiting suffix trees"
    - "edit distance sketching streaming and document exchange"
    - "the k mismatch problem revisited"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "sublinear space algorithms for the longest common substring problem"
    - "palindrome recognition in the streaming model"

Connected through hyperedge HE-3 (induced by source paper "longest common substring with approximately k mismatches"):
  with members:
    - "linear time algorithm for long lcf 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 "a note on the longest common substring with k mismatches problem"):
  with members:
    - "approximate pattern matching with k mismatches in packed text"

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)