Shypd.aiThe largest open index of AI toolsbenchmarking-gnns is a repository for evaluating and comparing graph neural networks. It supports deep graph learning (DGL) and includes datasets for graph regression.
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benchmarking-gnns is a repository specifically designed for the rigorous evaluation and comparison of various graph neural network (GNN) models. It integrates with deep graph learning (DGL) frameworks, providing a robust environment for GNN research. The tool comes equipped with relevant datasets, such as AQSOL, which is suitable for graph regression tasks. Its primary purpose is to facilitate AI researchers and machine learning engineers in assessing the performance and efficacy of different GNN architectures.
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