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 "balancing straight line programs"):
  Abstract: It is shown that a context-free grammar of size $m$ that produces a single string $w$ (such a grammar is also called a string straight-line program) can be transformed in linear time into a context-free grammar for $w$ of size $\mathcal{O}(m)$, whose unique derivation tree has depth $\mathcal{O}(\log |w|)$. This solves an open problem in the area of grammar-based compression. Similar results are shown for two formalism for grammar-based tree compression: top dags and forest straight-line programs. These balancing results are all deduced from a single meta theorem stating that the depth of an algebraic circuit over an algebra with a certain finite base property can be reduced to $\mathcal{O}(\log n)$ with the cost of a constant multiplicative size increase. Here, $n$ refers to the size of the unfolding (or unravelling) of the circuit.

Includes members:
  Member "compressed range minimum queries":
    also connected through other hyperedges:
      (none)
  Member "top tree compression of tries":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "dynamic packed compact tries revisited")
  Member "grammar based compression of unranked trees":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "entropy bounds for grammar based tree compressors")
  Member "a universal tree balancing theorem":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "entropy bounds for grammar based tree compressors")
  Member "tree compression with top trees revisited":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "top tree compression of tries")
  Member "compressed subsequence matching and packed tree coloring":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "fine grained complexity of analyzing compressed data quantifying improvements over decompress and solve")
  Member "a really simple approximation of smallest grammar":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "towards a definitive measure of repetitiveness")
  Member "approximation of grammar based compression via recompression":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a survey on string constraint solving")

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)