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cs.LG2024
Graffin: Stand for Tails in Imbalanced Node Classification
Xiaorui Qi, Yanlong Wen, Xiaojie Yuan
Graph representation learning (GRL) models have succeeded in many scenarios. Real-world graphs have imbalanced distribution, such as node labels and degrees, which leaves a critica…
cs.LG2024
An Efficient Loop and Clique Coarsening Algorithm for Graph Classification
Xiaorui Qi, Qijie Bai, Yanlong Wen +2
Graph Transformers (GTs) have made remarkable achievements in graph-level tasks. However, most existing works regard graph structures as a form of guidance or bias for enhancing no…