Self-pruning Graph Neural Network for Predicting Inflammatory Disease
Activity in Multiple Sclerosis from Brain MR Images

Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images

31 August 2023

Chinmay Prabhakar

Hongwei Bran Li

Johannes C. Paetzold

Daniel Rueckert

Benedikt Wiestler

Papers citing "Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images"

9 / 9 papers shown

Title
Understanding over-squashing and bottlenecks on graphs via curvature Jake Topping Francesco Di Giovanni B. Chamberlain Xiaowen Dong M. Bronstein 101 442 0 29 Nov 2021
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations Hongwei Bran Li Fei-Fei Xue K. Chaitanya Shengda Liu Ivan Ezhov Benedikt Wiestler Jianguo Zhang Bjoern Menze SSL 50 25 0 06 Mar 2021
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 73 780 0 08 Sep 2020
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 93 432 0 23 May 2019
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease Xi Sheryl Zhang Lifang He Kun Chen Yuan Luo Jiayu Zhou Fei Wang 37 87 0 22 May 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 251 6,132 0 24 Jan 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 452 15,179 0 07 Jun 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 446 14,264 0 02 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 577 28,999 0 09 Sep 2016