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: "improved space efficient linear time algorithms for some classical graph problems"
  Abstract: This short note provides space-efficient linear time algorithms for computing bridges, topological sorting, and strongly connected components improving on several recent results of Elmasry et al. [STACS'15], Banerjee et al. [COCOON'16] and Chakraborty et al. [ISAAC'16]. En route, we also provide another DFS implementation with weaker input graph representation assumption without compromising on the time and space bounds of the earlier results of Banerjee et al. [COCOON'16] and Kammer et al. [MFCS'16].

Connected through hyperedge HE-1 (induced by source paper "indexing graph search trees and applications"):
  with members:
    - "succinct data structures for families of interval graphs"
    - "biconnectivity st numbering and other applications of dfs using o n bits"
    - "space efficient biconnected components and recognition of outerplanar graphs"
    - "fast and compact planar embeddings"
    - "succinct representations of permutations and functions"

Connected through hyperedge HE-2 (induced by source paper "space efficient algorithms for breadth depth search"):
  with members:
    - "improved time space trade offs for computing voronoi diagrams"
    - "space efficient algorithms for longest increasing subsequence"
    - "biconnectivity st numbering and other applications of dfs using o n bits"

Connected through hyperedge HE-3 (induced by source paper "biconnectivity st numbering and other applications of dfs using o n bits"):
  with members:
    - "succinct choice dictionaries"
    - "improved space efficient algorithms for bfs dfs and applications"
    - "canonizing graphs of bounded tree width in logspace"
    - "the mondshein sequence"
    - "a simple test on 2 vertex and 2 edge connectivity"
    - "space time trade offs for stack based algorithms"
    - "computing a visibility polygon using few variables"

Connected through hyperedge HE-4 (induced by source paper "space efficient biconnected components and recognition of outerplanar graphs"):
  with members:
    - "rank select indices without tears"
    - "succinct choice dictionaries"
    - "improved space efficient algorithms for bfs dfs and applications"
    - "space efficient plane sweep algorithms"
    - "a simple test on 2 vertex and 2 edge connectivity"
    - "space time trade offs for stack based algorithms"

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)