Kefan Shuai

Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs

Graph classification benchmarks, vital for assessing and developing graph neural network (GNN) models, have recently been scrutinized, as simple methods like MLPs have demonstrated comparable performance. This leads to an important question: Do these benchmarks effectively distinguish the advancemen…