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NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
v1v2v3 (latest)

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics

9 June 2023
Anwar Said
Roza G. Bayrak
Hanyu Wang
Mudassir Shabbir
Daniel Moyer
Catie Chang
X. Koutsoukos
ArXiv (abs)PDFHTML

Papers citing "NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics"

19 / 19 papers shown
Title
Biologically Plausible Brain Graph Transformer
Biologically Plausible Brain Graph Transformer
Ciyuan Peng
Yuelong Huang
Qichao Dong
Shuo Yu
Xiwei Xu
Chengqi Zhang
Yaochu Jin
116
1
0
13 Feb 2025
ROLAND: Graph Learning Framework for Dynamic Graphs
ROLAND: Graph Learning Framework for Dynamic Graphs
Jiaxuan You
Tianyu Du
J. Leskovec
AI4CE
81
183
0
15 Aug 2022
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past,
  Present and Future
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
David Ahmedt-Aristizabal
M. Armin
Simon Denman
Clinton Fookes
L. Petersson
87
187
0
27 May 2021
Design Space for Graph Neural Networks
Design Space for Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
GNNAI4CE
202
323
0
17 Nov 2020
Masked Label Prediction: Unified Message Passing Model for
  Semi-Supervised Classification
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
Yunsheng Shi
Zhengjie Huang
Shikun Feng
Hui Zhong
Wenjin Wang
Yu Sun
AI4CE
110
794
0
08 Sep 2020
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis
Soham Gadgil
Qingyu Zhao
A. Pfefferbaum
E. Sullivan
Ehsan Adeli
K. Pohl
153
154
0
24 Mar 2020
Understanding Graph Isomorphism Network for rs-fMRI Functional
  Connectivity Analysis
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis
Byung-Hoon Kim
J. C. Ye
AI4CEGNN
83
131
0
10 Jan 2020
Graph Neural Network for Interpreting Task-fMRI Biomarkers
Graph Neural Network for Interpreting Task-fMRI Biomarkers
Xiaoxiao Li
Nicha Dvornek
Yuan Zhou
Juntang Zhuang
P. Ventola
James S. Duncan
85
104
0
02 Jul 2019
Representation Learning for Dynamic Graphs: A Survey
Representation Learning for Dynamic Graphs: A Survey
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TSAI4CEGNN
105
463
0
27 May 2019
Deep Learning in Alzheimer's disease: Diagnostic Classification and
  Prognostic Prediction using Neuroimaging Data
Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data
T. Jo
K. Nho
A. Saykin
75
507
0
02 May 2019
ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum
  Disorder using fMRI data
ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data
Taban Eslami
Vahid Mirjalili
A. Fong
A. Laird
F. Saeed
69
273
0
16 Apr 2019
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
254
3,188
0
19 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
AI4CEGNN
1.1K
5,551
0
20 Dec 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
GNN
197
1,646
0
04 Oct 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised
  Learning
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Qimai Li
Zhichao Han
Xiao-Ming Wu
GNNSSL
199
2,839
0
22 Jan 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
491
20,295
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
523
15,369
0
07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
691
29,220
0
09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
373
7,680
0
30 Jun 2016
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