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Cornell (60%/20%/20% random splits)
Cornell (60%/20%/20% random splits)
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Introduced 2022-10-14
Node classification on Cornell with 60%/20%/20% random splits for training/validation/test.
Benchmarks
Node Classification
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1:1 Accuracy
Related Benchmarks
Cornell
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Node Classification
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Accuracy
Cornell
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Node Classification
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Accuracy (%)
Cornell (48%/32%/20% fixed splits)
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Node Classification
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1:1 Accuracy
Cornell (48%/32%/20% fixed splits)
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Node Classification
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Accuracy
Cornell Grasp Dataset
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Robotic Grasping
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5 fold cross validation