5 datasets found

Groups: Graphs Tags: Graph Neural Networks

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  • Disease

    The dataset used in the paper is a link prediction benchmark dataset (Cora, PubMed, Disease, Airport) with a Gromov θ-hyperbolicity value.

  • G2P xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns

    Node classification is the task of predicting the labels of unlabeled nodes in a graph. State-of-the-art methods based on graph neural networks achieve excellent performance...

  • ENZYMES

    The ENZYMES dataset contains 600 proteins from each of the 6 Enzyme Commission top-level enzyme classes (EC classes) and the goal was to correctly predict enzyme class...

  • Graph Neural Networks

    Graph Neural Networks (GNNs) have emerged as powerful tools for learning graph-structured data in various domains.

  • ogbn-arxiv

    The ogbn-arxiv dataset is a citation network dataset, which is a directed graph, denoting the citation network between all Computer Science (CS) arXiv papers extracted from the...
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