no code implementations • COLING 2022 • Xiao Song, Xiaodan Zhang, Junzhong Ji, Ying Liu, Pengxu Wei
Medical report automatic generation has gained increasing interest recently as a way to help radiologists write reports more efficiently.
no code implementations • 15 Mar 2022 • Hao Jia, Junzhong Ji, Minglong Lei
In this paper, we propose a novel graph neural network based on supervised contrastive learning with structure inference for graph classification.
no code implementations • 2 Dec 2021 • Yating Ren, Junzhong Ji, Lingfeng Niu, Minglong Lei
In this paper, we propose a multi-task self-distillation framework that injects self-supervised learning and self-distillation into graph convolutional networks to separately address the mismatch problem from the structure side and the label side.
no code implementations • Neural Networks 2021 • Junzhong Ji, Ye Liang, Minglong Lei
Modern graph neural networks provide facilitation to jointly capture the above information in attributed graphs with a feature aggregation manner, and have achieved great success in attributed graph clustering.