RA-GCN: Graph Convolutional Network for Disease Prediction Problems with
Imbalanced Data

RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data

27 February 2021

Hamid R. Rabiee

Nassir Navab

Papers citing "RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data"

5 / 5 papers shown

Title
Enhancing medical vision-language contrastive learning via inter-matching relation modelling Mingjian Li Mingyuan Meng M. Fulham David Dagan Feng Lei Bi Jinman Kim VLM 23 1 0 19 Jan 2024
Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation Rui Li Weihua Li Yi Yang Hanyu Wei Jianhua Jiang Quan-wei Bai DiffM 6 11 0 18 Oct 2022
Unsupervised pre-training of graph transformers on patient population graphs Chantal Pellegrini Nassir Navab Anees Kazi MedIm AI4CE 29 11 0 21 Jul 2022
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks Yuning You Tianlong Chen Zhangyang Wang Yang Shen GNN 86 76 0 30 Mar 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 228 3,202 0 24 Nov 2016