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: "batch dynamic algorithms via parallel change propagation and applications to dynamic trees"
  Abstract: Dynamic algorithms capable of supporting batches of updates are increasingly relevant today due to the emergence of rapidly-evolving dynamic datasets. Since processing updates on a single processor is often unrealistic for large batches of updates, designing parallel dynamic algorithms that achieve provably low span is important for many applications. In this paper, motivated by the difficulty in designing parallel batch-dynamic algorithms by hand, we propose a framework for algorithmically dynamizing static round-synchronous algorithms to obtain parallel batch-dynamic algorithms with good bounds on their work and span. #R##N#In our framework, the algorithm designer can apply the technique to any suitably defined static algorithm. We then obtain theoretical guarantees for algorithms in our framework by defining the notion of a computation distance between two executions of the underlying algorithm. #R##N#Using this framework, we develop the first work-efficient parallel batch-dynamic algorithm for dynamic trees that supports both subtree queries and path queries, as well as a variety of nonlocal queries such as centers and medians. We further investigate the applicability of the framework by analyzing map-reduce-based computations, and a random-mate list contraction algorithm, which, when dynamized, yields a simple solution to the batch-dynamic lists problem that matches the work bounds of the best known hand-crafted data structure.

Connected through hyperedge HE-1 (induced by source paper "dynamic graph algorithms with batch updates in the massively parallel computation model"):
  with members:
    - "how fast can you update your mst dynamic algorithms for cluster computing"
    - "parallel batch dynamic graph connectivity"
    - "dynamic algorithms for the massively parallel computation model"
    - "fully dynamic maximal independent set in expected poly log update time"
    - "a deterministic algorithm for the mst problem in constant rounds of congested clique"
    - "exponentially faster massively parallel maximal matching"
    - "parallel batch dynamic graphs algorithms and lower bounds"
    - "fully dynamic maximal independent set with polylogarithmic update time"

Connected through hyperedge HE-2 (induced by source paper "work efficient batch incremental minimum spanning trees with applications to the sliding window model"):
  with members:
    - "parallel batch dynamic graph connectivity"
    - "faster algorithms for edge connectivity via random 2 out contractions"
    - "improved worst case deterministic parallel dynamic minimum spanning forest"
    - "parallel minimum cuts in near linear work and low depth"
    - "faster fully dynamic minimum spanning forest"
    - "single pass sparsification in the streaming model with edge deletions"
    - "maintaining information in fully dynamic trees with top trees"

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)