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 "on the distributed complexity of large scale graph computations"):
  Abstract: Motivated by the increasing need to understand the distributed algorithmic foundations of large-scale graph computations, we study some fundamental graph problems in a message-passing model for distributed computing where $k \geq 2$ machines jointly perform computations on graphs with $n$ nodes (typically, $n \gg k$). #R##N#Our main contribution is the \emph{General Lower Bound Theorem}, a theorem that can be used to show non-trivial lower bounds on the round complexity of distributed large-scale data computations. The General Lower Bound Theorem is established via an information-theoretic approach that relates the round complexity to the minimal amount of information required by machines for solving a problem. Our approach is generic and this theorem can be used in a "cookbook" fashion to show distributed lower bounds in the context of other problems (including non-graph problems). We present two applications by showing (almost) tight bounds for the round complexity of two fundamental graph problems: 1) PageRank: We show a lower bound of $\tilde{\Omega}(n/k^2)$ rounds, and present a distributed algorithm that computes the PageRank of all the nodes of a graph in $\tilde{O}(n/k^2)$ rounds. 2) Triangle enumeration: We show that there exist graphs with $m$ edges where any distributed algorithm requires $\tilde{\Omega}(m/k^{5/3})$ rounds. This result implies the first non-trivial lower bound of $\tilde\Omega(n^{1/3})$ rounds for the congested clique model. We also present a distributed algorithm that enumerates all the triangles of a graph in $\tilde{O}(m/k^{5/3} + n/k^{4/3})$ rounds.

Includes members:
  Member "mst in o 1 rounds of the congested clique":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "how fast can you update your mst dynamic algorithms for cluster computing")
  Member "triangle finding and listing in congest networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "distributed testing of graph isomorphism in the congest model")
  Member "near optimal clustering in the k machine model":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "efficient distributed community detection in the stochastic block model")
  Member "tight bounds for distributed graph computations":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "sparse matrix multiplication with bandwidth restricted all to all communication")
  Member "distributed algorithms for finding local clusters using heat kernel pagerank":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "efficient estimation of heat kernel pagerank for local clustering")
  Member "algebraic methods in the congested clique":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "exponentially faster shortest paths in the congested clique")
  Member "fast distributed algorithms for connectivity and mst in large graphs":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "equivalence classes and conditional hardness in massively parallel computations")
  Member "fast distributed pagerank computation":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "walking randomly massively and efficiently")

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.DC(Distributed, Parallel, and Cluster Computing)