human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "refining the r index"):
  Abstract: Gagie, Navarro and Prezza's $r$-index (SODA, 2018) promises to speed up DNA alignment and variation calling by allowing us to index entire genomic databases, provided certain obstacles can be overcome. In this paper we first strengthen and simplify Policriti and Prezza's Toehold Lemma (DCC '16; Algorithmica, 2017), which inspired the $r$-index and plays an important role in its implementation. We then show how to update the $r$-index efficiently after adding a new genome to the database, which is likely to be vital in practice. As a by-product of this result, we obtain an online version of Policriti and Prezza's algorithm for constructing the LZ77 parse from a run-length compressed Burrows-Wheeler Transform. Our experiments demonstrate the practicality of all three of these results. Finally, we show how to augment the $r$-index such that, given a new genome and fast random access to the database, we can quickly compute the matching statistics and maximal exact matches of the new genome with respect to the database.

Includes members:
  Member "conversion from rlbwt to lz77":
    also connected through other hyperedges:
      (none)
  Member "fully functional suffix trees and optimal text searching in bwt runs bounded space":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "towards a definitive measure of repetitiveness")
  Member "lower bounds for text indexing with mismatches and differences":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "graphs cannot be indexed in polynomial time for sub quadratic time string matching unless seth fails")
  Member "efficient construction of a complete index for pan genomics read alignment":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the complexity of bwt runs minimization via alphabet reordering")
  Member "prefix free parsing for building big bwts":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "rpair rescaling repair with rsync")
  Member "from lz77 to the run length encoded burrows wheeler transform and back":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "prefix free parsing for building big bwts")
  Member "a framework of dynamic data structures for string processing":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "dynamic path decomposed tries")
  Member "optimal construction of compressed indexes for highly repetitive texts":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "on the complexity of bwt runs minimization via alphabet reordering")

Question: Please tell me which class the source paper 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)