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Hybrid Approach of Relation Network and Localized Graph Convolutional
  Filtering for Breast Cancer Subtype Classification

Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification

16 November 2017
SungMin Rhee
Seokjun Seo
Sun Kim
    GNN
ArXivPDFHTML

Papers citing "Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification"

13 / 13 papers shown
Title
Influencer Detection with Dynamic Graph Neural Networks
Influencer Detection with Dynamic Graph Neural Networks
Elena Tiukhova
Emiliano Penaloza
María Óskarsdóttir
Hernán García
Alejandro Correa-Bahnsen
Bart Baesens
M. Snoeck
Cristián Bravo
GNN
28
5
0
15 Nov 2022
Augmentation Invariant Manifold Learning
Augmentation Invariant Manifold Learning
Shulei Wang
33
1
0
01 Nov 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and
  Privacy Protection
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
Hengtong Zhang
...
Guangyu Sun
Peng Cui
Zibin Zheng
Zhe Liu
P. Zhao
OOD
27
25
0
20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data
  for Cancer Type Classification
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification
S. Hashim
Muhammad Ali
Karthik Nandakumar
Mohammad Yaqub
22
3
0
03 Feb 2022
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
Lorentzian Graph Convolutional Networks
Lorentzian Graph Convolutional Networks
Yiding Zhang
Xiao Wang
C. Shi
Nian Liu
Guojie Song
23
95
0
15 Apr 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
Is graph-based feature selection of genes better than random?
Is graph-based feature selection of genes better than random?
Mohammad Hashir
Paul Bertin
Martin Weiss
Vincent Frappier
T. Perkins
G. Boucher
Joseph Paul Cohen
16
4
0
21 Oct 2019
Deep learning in bioinformatics: introduction, application, and
  perspective in big data era
Deep learning in bioinformatics: introduction, application, and perspective in big data era
Yu-Hu Li
Chao Huang
Lizhong Ding
Zhongxiao Li
Yijie Pan
Xin Gao
AI4CE
18
295
0
28 Feb 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
28
5,397
0
20 Dec 2018
Attack Graph Convolutional Networks by Adding Fake Nodes
Attack Graph Convolutional Networks by Adding Fake Nodes
Xiaoyun Wang
Minhao Cheng
Joe Eaton
Cho-Jui Hsieh
S. F. Wu
AAML
GNN
25
78
0
25 Oct 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
247
3,236
0
24 Nov 2016
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