← all datasets

6 standard node classification benchmarks

Emerging
1papers using it
2023first seen

The "6 standard node classification benchmarks" refers to a set of datasets used to evaluate the performance of Graph Neural Networks (GNNs) in classifying nodes based on their features and neighborhood structures.

Papers using 6 standard node classification benchmarks (1)

6 standard node classification benchmarks β€” datasets β€” graph-learning