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: "a framework of dynamic data structures for string processing"
  Abstract: In this paper we present DYNAMIC, an open-source C++ library implementing dynamic compressed data structures for string manipulation. Our framework includes useful tools such as searchable partial sums, succinct/gap-encoded bitvectors, and entropy/run-length compressed strings and FM-indexes. We prove close-to-optimal theoretical bounds for the resources used by our structures, and show that our theoretical predictions are empirically tightly verified in practice. To conclude, we turn our attention to applications. We compare the performance of four recently-published compression algorithms implemented using DYNAMIC with those of state-of-the-art tools performing the same task. Our experiments show that algorithms making use of dynamic compressed data structures can be up to three orders of magnitude more space-efficient (albeit slower) than classical ones performing the same tasks.

Connected through hyperedge HE-1 (induced by source paper "dynamic path decomposed tries"):
  with members:
    - "dynamic packed compact tries revisited"
    - "separate chaining meets compact hashing"
    - "m bonsai a practical compact dynamic trie"
    - "packed compact tries a fast and efficient data structure for online string processing"
    - "practical evaluation of lempel ziv 78 and lempel ziv welch tries"
    - "from theory to practice plug and play with succinct data structures"
    - "fast compressed tries through path decompositions"

Connected through hyperedge HE-2 (induced by source paper "compact and efficient representation of general graph databases"):
  with members:
    - "compressed representation of dynamic binary relations with applications"
    - "a succinct data structure for self indexing ternary relations"

Connected through hyperedge HE-3 (induced by source paper "compact fenwick trees for dynamic ranking and selection"):
  with members:
    - "succinct partial sums and fenwick trees"

Connected through hyperedge HE-4 (induced by source paper "refining the r index"):
  with members:
    - "conversion from rlbwt to lz77"
    - "fully functional suffix trees and optimal text searching in bwt runs bounded space"
    - "lower bounds for text indexing with mismatches and differences"
    - "efficient construction of a complete index for pan genomics read alignment"
    - "prefix free parsing for building big bwts"
    - "from lz77 to the run length encoded burrows wheeler transform and back"
    - "optimal construction of compressed indexes for highly repetitive texts"
    - "optimal time text indexing in bwt runs bounded space"

Connected through hyperedge HE-5 (induced by source paper "from lz77 to the run length encoded burrows wheeler transform and back"):
  with members:
    - "composite repetition aware data structures"
    - "computing lz77 in run compressed space"

Connected through hyperedge HE-6 (induced by source paper "a faster implementation of online run length burrows wheeler transform"):
  with members:
    - "computing lz77 in run compressed space"

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)