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: "tight bounds for distributed graph computations"
  Abstract: Motivated by the need to understand the algorithmic foundations of distributed 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, $n \gg k$). The input graph is assumed to be initially randomly partitioned among the $k$ machines. Communication is point-to-point, and the goal is to minimize the number of communication rounds of the computation. #R##N#We present (almost) tight bounds for the round complexity of two fundamental graph problems, namely PageRank computation and triangle enumeration. Our tight lower bounds, a main contribution of the paper, are established through an information-theoretic approach that relates the round complexity to the minimal amount of information required by machines for correctly solving a problem. Our approach is generic and might be useful in showing lower bounds in the context of similar problems and similar models. #R##N#We show a lower bound of $\tilde{\Omega}(n/k^2)$ rounds for computing the PageRank. (Notation $\tilde \Omega$ hides a ${1}/{\text{polylog}(n)}$ factor.) We also present a simple distributed algorithm that computes the PageRank of all the nodes of a graph in $\tilde{O}(n/k^2)$ rounds (notation $\tilde O$ hides a $\text{polylog}(n)$ factor and an additive $\text{polylog}(n)$ term). #R##N#For triangle enumeration, we show a lower bound of $\tilde{\Omega}(m/k^{5/3})$ rounds, where $m$ is the number of edges of the graph. Our result implies a lower bound of $\tilde\Omega(n^{1/3})$ for the congested clique, which is tight up to logarithmic factors. We also present a distributed algorithm that enumerates all the triangles of a graph in $\tilde{O}(m/k^{5/3})$ rounds.

Connected through hyperedge HE-1 (induced by source paper "sparse matrix multiplication with bandwidth restricted all to all communication"):
  with members:
    - "multi threaded sparse matrix matrix multiplication for many core and gpu architectures"
    - "mst in o 1 rounds of the congested clique"
    - "increasing the efficiency of sparse matrix matrix multiplication with a 2 5d algorithm and one sided mpi"
    - "improved rectangular matrix multiplication using powers of the coppersmith winograd tensor"
    - "towards a complexity theory for the congested clique"
    - "further algebraic algorithms in the congested clique model and applications to graph theoretic problems"
    - "hypergraph partitioning for sparse matrix matrix multiplication"
    - "derandomizing local distributed algorithms under bandwidth restrictions"

Connected through hyperedge HE-2 (induced by source paper "detecting cliques in congest networks"):
  with members:
    - "improved distributed expander decomposition and nearly optimal triangle enumeration"
    - "distributed triangle detection via expander decomposition"
    - "fooling views a new lower bound technique for distributed computations under congestion"
    - "distributed detection of cycles"
    - "quadratic and near quadratic lower bounds for the congest model"
    - "triangle finding and listing in congest networks"
    - "deterministic subgraph detection in broadcast congest"
    - "fast distributed algorithms for testing graph properties"

Connected through hyperedge HE-3 (induced by source paper "towards a complexity theory for the congested clique"):
  with members:
    - "new classes of distributed time complexity"
    - "a time hierarchy theorem for the local model"
    - "lcl problems on grids"
    - "deterministic subgraph detection in broadcast congest"
    - "further algebraic algorithms in the congested clique model and applications to graph theoretic problems"
    - "distributed degree splitting edge coloring and orientations"
    - "survey of distributed decision"
    - "near optimal approximate shortest paths and transshipment in distributed and streaming models"

Connected through hyperedge HE-4 (induced by source paper "fooling views a new lower bound technique for distributed computations under congestion"):
  with members:
    - "symmetry breaking in the congest model time and message efficient algorithms for ruling sets"
    - "a simple deterministic distributed mst algorithm with near optimal time and message complexities"
    - "quadratic and near quadratic lower bounds for the congest model"
    - "distributed testing of excluded subgraphs"
    - "a time and message optimal distributed algorithm for minimum spanning trees"
    - "fast distributed algorithms for testing graph properties"
    - "distributed construction of purely additive spanners"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"

Connected through hyperedge HE-5 (induced by source paper "triangle finding and listing in congest networks"):
  with members:
    - "distributed testing of excluded subgraphs"
    - "fast distributed algorithms for testing graph properties"
    - "algebraic methods in the congested clique"
    - "fast partial distance estimation and applications"
    - "almost tight distributed minimum cut algorithms"
    - "large cuts with local algorithms on triangle free graphs"
    - "distributed approximation algorithms for weighted shortest paths"
    - "distributed minimum cut approximation"

Connected through hyperedge HE-6 (induced by source paper "deterministic subgraph detection in broadcast congest"):
  with members:
    - "distributed subgraph detection"
    - "faster and simpler distributed algorithms for testing and correcting graph properties in the congest model"
    - "distributed property testing for subgraph freeness revisited"
    - "distributed testing of excluded subgraphs"
    - "fast distributed algorithms for testing graph properties"
    - "algebraic methods in the congested clique"
    - "tri tri again finding triangles and small subgraphs in a distributed setting"
    - "the locality of distributed symmetry breaking"

Connected through hyperedge HE-7 (induced by source paper "near optimal clustering in the k machine model"):
  with members:
    - "near optimal approximate shortest paths and transshipment in distributed and streaming models"
    - "approximate undirected transshipment and shortest paths via gradient descent"
    - "scalable facility location for massive graphs on pregel like systems"
    - "fast distributed algorithms for connectivity and mst in large graphs"
    - "all distances sketches revisited hip estimators for massive graphs analysis"
    - "distributed computation of large scale graph problems"
    - "fast clustering using mapreduce"

Connected through hyperedge HE-8 (induced by source paper "on the distributed complexity of large scale graph computations"):
  with members:
    - "mst in o 1 rounds of the congested clique"
    - "triangle finding and listing in congest networks"
    - "near optimal clustering in the k machine model"
    - "distributed algorithms for finding local clusters using heat kernel pagerank"
    - "algebraic methods in the congested clique"
    - "fast distributed algorithms for connectivity and mst in large graphs"
    - "fast distributed pagerank computation"
    - "distributed computation of large scale graph problems"

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.DC(Distributed, Parallel, and Cluster Computing)