3 datasets found

Groups: Graph Neural Networks Organizations: No Organization

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  • ogbn-products

    Graph Neural Networks (GNNs) have become a popular approach for various applications, ranging from social network analysis to modeling chemical properties of molecules.

  • SoGCN: Second-Order Graph Convolutional Networks

    Graph Convolutional Networks (GCNs) with multi-hop aggregation is more expressive than one-hop GCN but suffers from higher model complexity. Finding the shortest aggregation...

  • QM9

    A dataset of small molecules for benchmarking molecule generation methods. The dataset consists of fingerprints of the molecules, and the goal is to predict the original...