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: "tree compression with top trees revisited"
  Abstract: We revisit tree compression with top trees (Bille et al, ICALP'13) and present several improvements to the compressor and its analysis. By significantly reducing the amount of information stored and guiding the compression step using a RePair-inspired heuristic, we obtain a fast compressor achieving good compression ratios, addressing an open problem posed by Bille et al. We show how, with relatively small overhead, the compressed file can be converted into an in-memory representation that supports basic navigation operations in worst-case logarithmic time without decompression. We also show a much improved worst-case bound on the size of the output of top-tree compression (answering an open question posed in a talk on this algorithm by Weimann in 2012).

Connected through hyperedge HE-1 (induced by source paper "top tree compression of tries"):
  with members:
    - "dynamic packed compact tries revisited"
    - "universal compressed text indexing"
    - "packed compact tries a fast and efficient data structure for online string processing"
    - "linear size cdawg new repetition aware indexing and grammar compression"
    - "time space trade offs for lempel ziv compressed indexing"
    - "compressed indexing with signature grammars"
    - "deterministic indexing for packed strings"
    - "composite repetition aware data structures"

Connected through hyperedge HE-2 (induced by source paper "balancing straight line programs"):
  with members:
    - "compressed range minimum queries"
    - "top tree compression of tries"
    - "grammar based compression of unranked trees"
    - "a universal tree balancing theorem"
    - "compressed subsequence matching and packed tree coloring"
    - "a really simple approximation of smallest grammar"
    - "approximation of grammar based compression via recompression"
    - "faster fully compressed pattern matching by recompression"

Connected through hyperedge HE-3 (induced by source paper "grammar based compression of unranked trees"):
  with members:
    - "balancing straight line programs"
    - "slowing down top trees for better worst case bounds"
    - "schemas for unordered xml on a dime"
    - "compressed tree canonization"
    - "context unification is in pspace"
    - "faster fully compressed pattern matching by recompression"

Connected through hyperedge HE-4 (induced by source paper "slowing down top trees for better worst case bounds"):
  with members:
    - "optimal top dag compression"

Connected through hyperedge HE-5 (induced by source paper "universal tree source coding using grammar based compression"):
  with members:
    - "a universal grammar based code for lossless compression of binary trees"

Connected through hyperedge HE-6 (induced by source paper "tree compression using string grammars"):
  with members:
    - "a really simple approximation of smallest grammar"
    - "constructing small tree grammars and small circuits for formulas"
    - "linear compressed pattern matching for polynomial rewriting extended abstract"
    - "approximation of grammar based compression via recompression"
    - "approximation of smallest linear tree grammar"
    - "faster fully compressed pattern matching by recompression"
    - "isomorphism of regular trees and words"

Connected through hyperedge HE-7 (induced by source paper "traversing grammar compressed trees with constant delay"):
  with members:
    - "constructing small tree grammars and small circuits for formulas"
    - "xpath node selection over grammar compressed trees"
    - "approximation of smallest linear tree grammar"
    - "faster fully compressed pattern matching by recompression"
    - "fast and tiny structural self indexes for xml"
    - "fully functional static and dynamic succinct trees"

Connected through hyperedge HE-8 (induced by source paper "constructing small tree grammars and small circuits for formulas"):
  with members:
    - "traversing grammar compressed trees with constant delay"
    - "a really simple approximation of smallest grammar"
    - "a universal grammar based code for lossless compression of binary trees"
    - "tree compression with top trees"
    - "approximation of grammar based compression via recompression"
    - "approximation of smallest linear tree grammar"
    - "grammar based compression in a streaming model"

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)