human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "parallel approximate undirected shortest paths via low hop emulators"):
  Abstract: We present a $(1+\varepsilon)$-approximate parallel algorithm for computing shortest paths in undirected graphs, achieving $\mathrm{poly}(\log n)$ depth and $m\mathrm{poly}(\log n)$ work for $n$-nodes $m$-edges graphs. Although sequential algorithms with (nearly) optimal running time have been known for several decades, near-optimal parallel algorithms have turned out to be a much tougher challenge. For $(1+\varepsilon)$-approximation, all prior algorithms with $\mathrm{poly}(\log n)$ depth perform at least $\Omega(mn^{c})$ work for some constant $c>0$. Improving this long-standing upper bound obtained by Cohen (STOC'94) has been open for $25$ years. #R##N#We develop several new tools of independent interest. One of them is a new notion beyond hopsets --- low hop emulator --- a $\mathrm{poly}(\log n)$-approximate emulator graph in which every shortest path has at most $O(\log\log n)$ hops (edges). Direct applications of the low hop emulators are parallel algorithms for $\mathrm{poly}(\log n)$-approximate single source shortest path (SSSP), Bourgain's embedding, metric tree embedding, and low diameter decomposition, all with $\mathrm{poly}(\log n)$ depth and $m\mathrm{poly}(\log n)$ work. #R##N#To boost the approximation ratio to $(1+\varepsilon)$, we introduce compressible preconditioners and apply it inside Sherman's framework (SODA'17) to solve the more general problem of uncapacitated minimum cost flow (a.k.a., transshipment problem). Our algorithm computes a $(1+\varepsilon)$-approximate uncapacitated minimum cost flow in $\mathrm{poly}(\log n)$ depth using $m\mathrm{poly}(\log n)$ work. As a consequence, it also improves the state-of-the-art sequential running time from $m\cdot 2^{O(\sqrt{\log n})}$ to $m\mathrm{poly}(\log n)$.

Includes members:
  Member "preconditioning for the geometric transportation problem":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "faster parallel algorithm for approximate shortest path")
  Member "fast approximate shortest paths in the congested clique":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "exponentially faster shortest paths in the congested clique")
  Member "brief announcement semi mapreduce meets congested clique":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "graph sparsification for derandomizing massively parallel computation with low space")
  Member "thorup zwick emulators are universally optimal hopsets":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "deterministic algorithms for decremental approximate shortest paths faster and simpler")
  Member "parallel shortest paths using radius stepping":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "efficient construction of directed hopsets and parallel approximate shortest paths")
  Member "near optimal approximate shortest paths and transshipment in distributed and streaming models":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "polynomial pass lower bounds for graph streaming algorithms")
  Member "a hierarchy of lower bounds for sublinear additive spanners":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "exponentially faster shortest paths in the congested clique")
  Member "hopsets with constant hopbound and applications to approximate shortest paths":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "new algorithms and hardness for incremental single source shortest paths in directed graphs")

Question: Please tell me which class the source paper 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)