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 faster deterministic distributed algorithm for weighted apsp through pipelining"
  Abstract: We present a new approach to computing all pairs shortest paths (APSP) in a weighted directed graph in the Congest model in the distributed setting. Our approach gives a simple but nontrivial deterministic distributed APSP algorithm that runs in $\tilde{O}(n^{3/2})$ rounds. This bound matches a recent deterministic distributed algorithm in [ARKP18]. #R##N#We then combine our new distributed APSP algorithm with a modified version of the algorithm in [ARKP18] to obtain an $\tilde{O}(n^{4/3})$ round deterministic distributed APSP algorithm in the Congest model, improving the previous best bound of $\tilde{O}(n^{3/2})$ rounds. We have a similar improvement in the bound for the problem of computing shortest path trees for k given sources. For this latter problem our deterministic distributed algorithm runs in $\tilde{O}(n \cdot k^{1/3})$ rounds. #R##N#Our new approach in the $\tilde{O}(n^{3/2})$ round APSP algorithm is a pipelined strategy that computes each stage of Gabow's scaling algorithm in less than $2n^{3/2} + 2n$ rounds. While this algorithm has a simple description, it has some novel features and a nontrivial analysis.

Connected through hyperedge HE-1 (induced by source paper "smaller cuts higher lower bounds"):
  with members:
    - "a deterministic distributed algorithm for exact weighted all pairs shortest paths in tilde o n 3 2 rounds"
    - "distributed exact weighted all pairs shortest paths in near linear time"
    - "optimal distributed coloring algorithms for planar graphs in the local model"
    - "distributed exact shortest paths in sublinear time"
    - "a time hierarchy theorem for the local model"
    - "a 2 ϵ approximation for maximum weight matching in the semi streaming model"
    - "quadratic and near quadratic lower bounds for the congest model"
    - "distributed approximation of maximum independent set and maximum matching"

Connected through hyperedge HE-2 (induced by source paper "a deterministic distributed algorithm for exact weighted all pairs shortest paths in tilde o n 3 2 rounds"):
  with members:
    - "distributed algorithms for directed betweenness centrality and all pairs shortest paths"
    - "distributed exact shortest paths in sublinear time"
    - "improved distributed algorithms for exact shortest paths"
    - "hopsets with constant hopbound and applications to approximate shortest paths"
    - "a deterministic almost tight distributed algorithm for approximating single source shortest paths"
    - "fast partial distance estimation and applications"
    - "distributed approximation algorithms for weighted shortest paths"

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)