7 widely-used graph datasets

The '7 widely-used graph datasets' refers to a collection of benchmark datasets utilized to evaluate the performance of Graph Neural Networks (GNNs) and their susceptibility to the over-smoothing problem.

Papers using 7 widely-used graph datasets (1)

Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View2019 · 80 cites