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: "approximating the minimum equivalent digraph"
  Abstract: The MEG (minimum equivalent graph) problem is the following: "Given a directed graph, find a smallest subset of the edges that maintains all reachability relations between nodes." This problem is NP-hard; this paper gives an approximation algorithm achieving a performance guarantee of about 1.64 in polynomial time. The algorithm achieves a performance guarantee of 1.75 in the time required for transitive closure. #R##N#The heart of the MEG problem is the minimum SCSS (strongly connected spanning subgraph) problem --- the MEG problem restricted to strongly connected digraphs. For the minimum SCSS problem, the paper gives a practical, nearly linear-time implementation achieving a performance guarantee of 1.75. #R##N#The algorithm and its analysis are based on the simple idea of contracting long cycles. The analysis applies directly to $2$-\Exchange, a general "local improvement" algorithm, showing that its performance guarantee is 1.75.

Connected through hyperedge HE-1 (induced by source paper "twinless articulation points and some related problems"):
  with members:
    - "finding 2 edge and 2 vertex strongly connected components in quadratic time"
    - "2 edge connectivity in directed graphs"
    - "computing the 2 blocks of directed graphs"
    - "on computing the 2 vertex connected components of directed graphs"
    - "a simple test on 2 vertex and 2 edge connectivity"

Connected through hyperedge HE-2 (induced by source paper "correspondent banking networks theory and experiment"):
  with members:
    - "towards unbiased bfs sampling"
    - "on strongly connected digraphs with bounded cycle length"

Connected through hyperedge HE-3 (induced by source paper "on low high orders of directed graphs incremental algorithms and applications"):
  with members:
    - "incremental 2 edge connectivity in directed graphs"
    - "an experimental study of dynamic dominators"
    - "finding 2 edge and 2 vertex strongly connected components in quadratic time"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "2 edge connectivity in directed graphs"
    - "computing the 2 blocks of directed graphs"
    - "on computing the 2 vertex connected components of directed graphs"
    - "finding dominators via disjoint set union"

Connected through hyperedge HE-4 (induced by source paper "dual based approximation algorithms for cut based network connectivity problems"):
  with members:
    - "dual power assignment via second hamiltonian cycle"
    - "on min power steiner tree"
    - "a rounding by sampling approach to the minimum size k arc connected subgraph problem"
    - "on strongly connected digraphs with bounded cycle length"

Connected through hyperedge HE-5 (induced by source paper "dual fitting approximation algorithms for network connectivity problems"):
  with members:
    - "dual power assignment via second hamiltonian cycle"
    - "on min power steiner tree"
    - "on strongly connected digraphs with bounded cycle length"

Connected through hyperedge HE-6 (induced by source paper "minimum equivalent precedence relation systems"):
  with members:
    - "combinatorial redundancy detection"

Connected through hyperedge HE-7 (induced by source paper "the adversarial noise threshold for distributed protocols"):
  with members:
    - "sparse sums of positive semidefinite matrices"
    - "maximal noise in interactive communication over erasure channels and channels with feedback"
    - "balancing communication for multi party interactive coding"
    - "interactive channel capacity revisited"
    - "optimal error rates for interactive coding i adaptivity and other settings"
    - "optimal error rates for interactive coding ii efficiency and list decoding"
    - "tree codes and a conjecture on exponential sums"
    - "faster approximation schemes for fractional multicommodity flow problems via dynamic graph algorithms"

Connected through hyperedge HE-8 (induced by source paper "computing the 2 blocks of directed graphs"):
  with members:
    - "2 edge connectivity in directed graphs"
    - "on computing the 2 vertex connected components of directed graphs"

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)