SSGConv

Tuned classic GNNs outperform specialized methods in multi-label node classification

Researchers have re-evaluated the effectiveness of standard Graph Neural Networks (GNNs) for multi-label node classification tasks. By applying careful tuning techniques such as normalization, dropout, and residual conn…