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9 multi-label datasets

Emerging
1papers using it
2023first seen

The '9 multi-label datasets' refers to a collection of datasets used to evaluate multi-label node classification tasks on graph-structured data, which includes both real-world biological datasets and those generated with specific properties.

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Papers using 9 multi-label datasets (1)

9 multi-label datasets — datasets — graph-learning