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Update README.md
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README.md
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@@ -25,8 +25,11 @@ graphs_pygeometric = DataLoader(graph_list)
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Currently available graphs are:
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<strong> Open Graph Benchmark </strong>, graph classification task: <em> ogbg-molhiv, ogbg-molpcba, ogbg-ppa, ogbg-code2 </em> <br>
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<strong> Molecular datasets </strong>, graph regression task: <em> ZINC </em>, graph classification task: <em> MUTAG, PROTEINS </em> <br>
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<strong> MD17 molecular trajectory benchmark </strong>, graph regression task: <em> aspirin, benzene, ethanol, malonaldehyde, naphthalene, salycilic acid, toluene, uracil </em> <br>
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<strong> Social datasets </strong>, graph classification task: <em> IMDb-B </em> <br>
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- More to come!
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Currently available graphs are:
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<br><br>
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<strong> Open Graph Benchmark </strong>, graph classification task: <em> ogbg-molhiv, ogbg-molpcba, ogbg-ppa, ogbg-code2 </em> <br>
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<strong> Molecular datasets </strong>, graph regression task: <em> ZINC, AQSOL </em>, graph classification task: <em> MUTAG, PROTEINS, AIDS </em> <br>
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<strong> MD17 molecular trajectory benchmark </strong>, graph regression task: <em> aspirin, benzene, ethanol, malonaldehyde, naphthalene, salycilic acid, toluene, uracil </em> <br>
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<strong> Social datasets </strong>, graph classification task: <em> IMDb-B, twitch_egos, reddit_threads, deezer_ego_nets </em> <br>
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<strong> Image datasets </strong>, graph classification task: <em> CIFAR10, MNIST </em> <br>
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<strong> Quantum chemistry datasets </strong>, graph classification task: <em> alchemy </em> <br>
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<strong> Synthetic dataset </strong>, graph classification task: <em> CSL </em> <br>
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- More to come!
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