6 datasets found

Formats: JSON Tags: Graph Clustering

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  • Correlation Clustering

    Graph neural networks (GNNs) are a powerful family of models that operate over graph-structured data and have achieved state-of-the-art performance on node and graph...

  • Stochastic Block Model

    The stochastic block model is a statistical problem where the goal is to recover a community structure from a graph. The model is defined by a graph G with vertex set [n] =...

  • Amazon co-purchasing graph

    The dataset used in the paper is the Amazon co-purchasing graph.

  • Coauthor Physics

    The Coauthor Physics dataset is a co-authorship graph extracted from the Microsoft Academic Graph, with a focus on Physics research.

  • LFR Benchmark

    The dataset used in the paper is the LFR benchmark, which generates graphs with different properties.

  • ACM

    The dataset used in the paper is a heterogeneous graph, which is a graph that contains multiple types of nodes and edges. The dataset is used for semi-supervised graph learning...
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