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PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis

PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis

20 May 2023
Yi Yang
Hejie Cui
Carl Yang
ArXivPDFHTML

Papers citing "PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis"

11 / 11 papers shown
Title
A Survey of Cross-domain Graph Learning: Progress and Future Directions
Haihong Zhao
Chenyi Zi
Aochuan Chen
Jia Li
67
0
0
14 Mar 2025
RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural
  Enhancement and Aggregation
RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural Enhancement and Aggregation
Junyu Chen
Long Shi
Badong Chen
21
0
0
14 Aug 2024
Graph Neural Networks for Brain Graph Learning: A Survey
Graph Neural Networks for Brain Graph Learning: A Survey
Xuexiong Luo
Jia Wu
Jian Yang
Shan Xue
Amin Beheshti
Quan Z. Sheng
David Mcalpine
Paul F. Sowman
Alexis Giral
Philip S. Yu
AI4CE
16
4
0
01 Jun 2024
Weakly-Supervised Scientific Document Classification via
  Retrieval-Augmented Multi-Stage Training
Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training
Ran Xu
Yue Yu
Joyce C. Ho
Carl Yang
47
21
0
12 Jun 2023
R-Mixup: Riemannian Mixup for Biological Networks
R-Mixup: Riemannian Mixup for Biological Networks
Xuan Kan
Zimu Li
Hejie Cui
Yue Yu
Ran Xu
Shaojun Yu
Zilong Zhang
Ying Guo
Carl Yang
28
6
0
05 Jun 2023
BrainNPT: Pre-training of Transformer networks for brain network
  classification
BrainNPT: Pre-training of Transformer networks for brain network classification
Jinlong Hu
Ya-Lin Huang
Nan Wang
Shoubin Dong
ViT
MedIm
18
6
0
02 May 2023
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder
  Analysis
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
Hejie Cui
Wei Dai
Yanqiao Zhu
Xiaoxiao Li
Lifang He
Carl Yang
66
78
0
30 Jun 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
390
4,124
0
28 Jan 2022
Pre-training Molecular Graph Representation with 3D Geometry
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu
Hanchen Wang
Weiyang Liu
Joan Lasenby
Hongyu Guo
Jian Tang
112
302
0
07 Oct 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
172
639
0
19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,677
0
09 Mar 2017
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