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InceptionGCN: Receptive Field Aware Graph Convolutional Network for
  Disease Prediction

InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction

11 March 2019
Anees Kazi
Shayan Shekarforoush
S. Krishna
Hendrik Burwinkel
G. Vivar
K. Kortüm
Seyed-Ahmad Ahmadi
Shadi Albarqouni
Nassir Navab
    GNN
    MedIm
ArXivPDFHTML

Papers citing "InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction"

19 / 19 papers shown
Title
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs
Shengwei Ji
Yujie Tian
Fei Liu
Xinlu Li
Le Wu
GNN
32
0
0
14 Oct 2024
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing
  with the Data Imbalance in Graph Neural Networks
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks
Mahdi Mohammadizadeh
Arash Mozhdehi
Yani Andrew Ioannou
Xin Eric Wang
32
1
0
24 Jun 2024
MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction
MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction
Luhui Cai
Weiming Zeng
Hongyu Chen
Hua Zhang
Yueyang Li
Hongjie Yan
Lingbin Bian
Lingbin Bian
Wai Ting Siok
Nizhuan Wang
MedIm
47
3
0
20 Jun 2024
Population Graph Cross-Network Node Classification for Autism Detection
  Across Sample Groups
Population Graph Cross-Network Node Classification for Autism Detection Across Sample Groups
Anna Stephens
Francisco Santos
Pang-Ning Tan
A. Esfahanian
18
1
0
10 Jan 2024
A Comparative Study of Population-Graph Construction Methods and Graph
  Neural Networks for Brain Age Regression
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression
Kyriaki-Margarita Bintsi
Tamara T. Mueller
Sophie Starck
V. Baltatzis
A. Hammers
Daniel Rueckert
17
2
0
26 Sep 2023
S3M: Scalable Statistical Shape Modeling through Unsupervised
  Correspondences
S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences
Lennart Bastian
Alexander Bauman
Emily Hoppe
Vincent Burgin
Ha Young Kim
Mahdi Saleh
Benjamin Busam
Nassir Navab
22
8
0
15 Apr 2023
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery
Junbin Mao
Jin Liu
Han Lin
Hulin Kuang
Shirui Pan
Yi-Lun Pan
Shan Xie
Fei Liu
Yi Pan
21
1
0
03 Mar 2023
Heterogeneous Graph Learning for Multi-modal Medical Data Analysis
Heterogeneous Graph Learning for Multi-modal Medical Data Analysis
Sein Kim
Namkyeong Lee
Junseok Lee
Dongmin Hyun
Chanyoung Park
19
24
0
28 Nov 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
Ajay Jaiswal
Peihao Wang
Tianlong Chen
Justin F. Rousseau
Ying Ding
Zhangyang Wang
27
10
0
14 Oct 2022
Unsupervised pre-training of graph transformers on patient population
  graphs
Unsupervised pre-training of graph transformers on patient population graphs
Chantal Pellegrini
Nassir Navab
Anees Kazi
MedIm
AI4CE
42
11
0
21 Jul 2022
Improving the Level of Autism Discrimination through GraphRNN Link
  Prediction
Improving the Level of Autism Discrimination through GraphRNN Link Prediction
Haonan Sun
Q. He
Shouliang Qi
Yudong Yao
Yueyang Teng
17
0
0
19 Feb 2022
Heterogeneous Graph-Based Multimodal Brain Network Learning
Heterogeneous Graph-Based Multimodal Brain Network Learning
Gen Shi
Yifan Zhu
Wenjin Liu
Quanming Yao
Xia Li
21
7
0
16 Oct 2021
Multi-modal Graph Learning for Disease Prediction
Multi-modal Graph Learning for Disease Prediction
Shuai Zheng
Zhenfeng Zhu
Zhizhe Liu
Zhenyu Guo
Yang Liu
Yao Zhao
26
97
0
01 Jul 2021
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with
  Imbalanced Data
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data
Mahsa Ghorbani
Anees Kazi
M. Baghshah
Hamid R. Rabiee
Nassir Navab
19
72
0
27 Feb 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Bin Cui
GNN
56
1,174
0
04 Nov 2020
Edge-variational Graph Convolutional Networks for Uncertainty-aware
  Disease Prediction
Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction
Yongxiang Huang
Albert C. S. Chung
MedIm
17
60
0
06 Sep 2020
Multi-hop Convolutions on Weighted Graphs
Multi-hop Convolutions on Weighted Graphs
Qikui Zhu
Bo Du
Pingkun Yan
14
15
0
12 Nov 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,944
0
09 Jun 2018
1