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NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human
  Connectomes
v1v2v3 (latest)

NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes

26 September 2024
Ziquan Wei
Tingting Dan
Jiaqi Ding
Guorong Wu
    MedIm
ArXiv (abs)PDFHTML

Papers citing "NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes"

10 / 10 papers shown
Title
Pure Transformers are Powerful Graph Learners
Pure Transformers are Powerful Graph Learners
Jinwoo Kim
Tien Dat Nguyen
Seonwoo Min
Sungjun Cho
Moontae Lee
Honglak Lee
Seunghoon Hong
99
201
0
06 Jul 2022
Recipe for a General, Powerful, Scalable Graph Transformer
Recipe for a General, Powerful, Scalable Graph Transformer
Ladislav Rampášek
Mikhail Galkin
Vijay Prakash Dwivedi
Anh Tuan Luu
Guy Wolf
Dominique Beaini
136
579
0
25 May 2022
BolT: Fused Window Transformers for fMRI Time Series Analysis
BolT: Fused Window Transformers for fMRI Time Series Analysis
H. Bedel
Irmak Sivgin
Onat Dalmaz
S. Dar
Tolga Çukur
125
58
0
23 May 2022
Cycle Representation Learning for Inductive Relation Prediction
Cycle Representation Learning for Inductive Relation Prediction
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Chao Chen
84
22
0
06 Oct 2021
Global Self-Attention as a Replacement for Graph Convolution
Global Self-Attention as a Replacement for Graph Convolution
Md Shamim Hussain
Mohammed J Zaki
D. Subramanian
ViT
76
127
0
07 Aug 2021
Graph Neural Networks in Network Neuroscience
Graph Neural Networks in Network Neuroscience
Alaa Bessadok
Mohamed Ali Mahjoub
I. Rekik
GNN
78
182
0
07 Jun 2021
Cognitive Graph for Multi-Hop Reading Comprehension at Scale
Cognitive Graph for Multi-Hop Reading Comprehension at Scale
Ming Ding
Chang Zhou
Qibin Chen
Hongxia Yang
Jie Tang
88
226
0
14 May 2019
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
363
1,372
0
12 Feb 2018
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
682
29,183
0
09 Sep 2016
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
229
3,356
0
30 Sep 2015
1