most citedMulti-task Self-distillation for Graph-based Semi-Supervised Learning

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022

Supervised Contrastive Learning with Structure Inference for Graph Classification

Hao Jia, Junzhong Ji, Minglong Lei

Advanced graph neural networks have shown great potentials in graph classification tasks recently. Different from node classification where node embeddings aggregated from local ne…

cs.LG2021★ 2 cited

Multi-task Self-distillation for Graph-based Semi-Supervised Learning

Yating Ren, Junzhong Ji, Lingfeng Niu +1

Graph convolutional networks have made great progress in graph-based semi-supervised learning. Existing methods mainly assume that nodes connected by graph edges are prone to have…