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: "new distributed algorithms in almost mixing time via transformations from parallel algorithms"
  Abstract: We show that many classical optimization problems --- such as $(1\pm\epsilon)$-approximate maximum flow, shortest path, and transshipment --- can be computed in $\newcommand{\tmix}{{\tau_{\text{mix}}}}\tmix(G)\cdot n^{o(1)}$ rounds of distributed message passing, where $\tmix(G)$ is the mixing time of the network graph $G$. This extends the result of Ghaffari et al.\ [PODC'17], whose main result is a distributed MST algorithm in $\tmix(G)\cdot 2^{O(\sqrt{\log n \log\log n})}$ rounds in the CONGEST model, to a much wider class of optimization problems. For many practical networks of interest, e.g., peer-to-peer or overlay network structures, the mixing time $\tmix(G)$ is small, e.g., polylogarithmic. On these networks, our algorithms bypass the $\tilde\Omega(\sqrt n+D)$ lower bound of Das Sarma et al.\ [STOC'11], which applies for worst-case graphs and applies to all of the above optimization problems. For all of the problems except MST, this is the first distributed algorithm which takes $o(\sqrt n)$ rounds on a (nontrivial) restricted class of network graphs. #R##N#Towards deriving these improved distributed algorithms, our main contribution is a general transformation that simulates any work-efficient PRAM algorithm running in $T$ parallel rounds via a distributed algorithm running in $T\cdot \tmix(G)\cdot 2^{O(\sqrt{\log n})}$ rounds. Work- and time-efficient parallel algorithms for all of the aforementioned problems follow by combining the work of Sherman [FOCS'13, SODA'17] and Peng and Spielman [STOC'14]. Thus, simulating these parallel algorithms using our transformation framework produces the desired distributed algorithms. #R##N#The core technical component of our transformation is the algorithmic problem of solving \emph{multi-commodity routing}---that is, roughly, routing $n$ packets each from a given source to a given destination---in random graphs. For this problem, we obtain a...

Connected through hyperedge HE-1 (induced by source paper "near optimal schedules for simultaneous multicasts"):
  with members:
    - "improved distributed approximations for minimum weight two edge connected spanning subgraph"
    - "round and message optimal distributed graph algorithms"
    - "minor excluded network families admit fast distributed algorithms"
    - "low congestion shortcuts without embedding"
    - "plane gossip approximating rumor spread in planar graphs"
    - "a simpler proof for o congestion dilation packet routing"

Connected through hyperedge HE-2 (induced by source paper "improved distributed expander decomposition and nearly optimal triangle enumeration"):
  with members:
    - "distributed edge connectivity in sublinear time"
    - "sparse matrix multiplication and triangle listing in the congested clique model"
    - "distributed triangle detection via expander decomposition"
    - "graph sparsification spectral sketches and faster resistance computation via short cycle decompositions"
    - "expander decomposition and pruning faster stronger and simpler"
    - "mst in o 1 rounds of the congested clique"
    - "fooling views a new lower bound technique for distributed computations under congestion"
    - "triangle finding and listing in congest networks"

Connected through hyperedge HE-3 (induced by source paper "hardness of distributed optimization"):
  with members:
    - "small cuts and connectivity certificates a fault tolerant approach"
    - "fast and efficient distributed computation of hamiltonian cycles in random graphs"
    - "a distributed algorithm for finding hamiltonian cycles in random graphs in o log n time"
    - "parameterized distributed algorithms"
    - "distributed exact weighted all pairs shortest paths in near linear time"
    - "detecting cliques in congest networks"
    - "simple and local independent set approximation"
    - "distributed spanner approximation"

Connected through hyperedge HE-4 (induced by source paper "network coding gaps for completion times of multiple unicasts"):
  with members:
    - "flow cut gaps and face covers in planar graphs"
    - "faster distributed shortest path approximations via shortcuts"
    - "lower bounds for external memory integer sorting via network coding"
    - "low congestion shortcuts without embedding"
    - "cops robbers and threatening skeletons padded decomposition for minor free graphs"
    - "simple fast and deterministic gossip and rumor spreading"
    - "lexicographic products and the power of non linear network coding"
    - "distributed verification and hardness of distributed approximation"

Connected through hyperedge HE-5 (induced by source paper "distributed mst a smoothed analysis"):
  with members:
    - "fast approximate shortest paths in the congested clique"
    - "fast and efficient distributed computation of hamiltonian cycles in random graphs"
    - "congested clique algorithms for graph spanners"
    - "distributed symmetry breaking algorithms for congested cliques"
    - "a simple deterministic distributed mst algorithm with near optimal time and message complexities"
    - "towards a complexity theory for the congested clique"
    - "a time and message optimal distributed algorithm for minimum spanning trees"
    - "smoothed analysis of dynamic networks"

Connected through hyperedge HE-6 (induced by source paper "low congestion shortcut and graph parameters"):
  with members:
    - "time message trade offs in distributed algorithms"
    - "round and message optimal distributed graph algorithms"
    - "minor excluded network families admit fast distributed algorithms"
    - "distributed treewidth computation"
    - "faster distributed shortest path approximations via shortcuts"
    - "near linear lower bounds for distributed distance computations even in sparse networks"
    - "low congestion shortcuts without embedding"
    - "intersection graphs an introduction"

Connected through hyperedge HE-7 (induced by source paper "improved distributed approximations for minimum weight two edge connected spanning subgraph"):
  with members:
    - "distributed edge connectivity in sublinear time"
    - "small cuts and connectivity certificates a fault tolerant approach"
    - "minor excluded network families admit fast distributed algorithms"
    - "distributed approximation of minimum k edge connected spanning subgraphs"
    - "fast distributed approximation for tap and 2 edge connectivity"
    - "low congestion shortcuts without embedding"
    - "almost tight distributed minimum cut algorithms"
    - "distributed minimum cut approximation"

Connected through hyperedge HE-8 (induced by source paper "distributed data summarization in well connected networks"):
  with members:
    - "optimal gossip algorithms for exact and approximate quantile computations"
    - "streaming space complexity of nearly all functions of one variable on frequency vectors"
    - "taylor polynomial estimator for estimating frequency moments"
    - "tight bounds for lp samplers finding duplicates in streams and related problems"
    - "a multi round communication lower bound for gap hamming and some consequences"

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)