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 "dynamic graph algorithms with batch updates in the massively parallel computation model"):
  Abstract: We study dynamic graph algorithms in the Massively Parallel Computation model (MPC), inspired by practical data processing systems. Our goal is to provide algorithms that can efficiently handle large batches of edge insertions and deletions. #R##N#We show algorithms that require fewer rounds to update a solution to problems such as Minimum Spanning Forest and Maximal Matching than would be required by their static counterparts to compute it from scratch. They work in the most restrictive memory regime, in which local memory per machine is strongly sublinear in the number of graph vertices. Improving on the size of the batch they can handle would improve on the round complexity of known static algorithms on sparse graphs. #R##N#More precisely, we provide $O(1)$ round algorithms that can process a batch of updated of size $O(S)$ for the Minimum Spanning Forest problem and a batch of updates of size $O(S^{1-\varepsilon})$ for the Maximal Matching problem, where $S$ is the limit on the local memory of a single machine.

Includes members:
  Member "how fast can you update your mst dynamic algorithms for cluster computing":
    also connected through other hyperedges:
      (none)
  Member "batch dynamic algorithms via parallel change propagation and applications to dynamic trees":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "work efficient batch incremental minimum spanning trees with applications to the sliding window model")
  Member "parallel batch dynamic graph connectivity":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "batch dynamic algorithms via parallel change propagation and applications to dynamic trees")
  Member "dynamic algorithms for the massively parallel computation model":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "equivalence classes and conditional hardness in massively parallel computations")
  Member "fully dynamic maximal independent set in expected poly log update time":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "independent sets of dynamic rectangles algorithms and experiments")
  Member "a deterministic algorithm for the mst problem in constant rounds of congested clique":
    also connected through other hyperedges:
      (none)
  Member "exponentially faster massively parallel maximal matching":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "equivalence classes and conditional hardness in massively parallel computations")
  Member "parallel batch dynamic graphs algorithms and lower bounds":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "equivalence classes and conditional hardness in massively parallel computations")

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)