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9 collected multi-label datasets

Emerging
1papers using it
2024first seen

The '9 collected multi-label datasets' refers to a set of datasets used to evaluate the performance of various methods in multi-label node classification tasks, addressing the challenges posed by the scarcity of publicly available datasets in this area.

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Papers using 9 collected multi-label datasets (1)

9 collected multi-label datasets — datasets — graph-learning