Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning

Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning

9 June 2022

Papers citing "Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning"

19 / 19 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
BrainMAP: Learning Multiple Activation Pathways in Brain Networks Song Wang Zhenyu Lei Zhen Tan Jiaqi Ding Xinyu Zhao ... Guorong Wu Tianlong Chen Chen Chen Aiying Zhang Jundong Li 48 0 0 23 Dec 2024
BrainMAE: A Region-aware Self-supervised Learning Framework for Brain Signals Yifan Yang Yutong Mao Xufu Liu Xiao Liu 22 1 0 24 Jun 2024
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
Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks Saurabh Sihag Gonzalo Mateos Alejandro Ribeiro 17 5 0 12 Feb 2024
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 25 6 0 05 Jun 2023
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis Yi Yang Hejie Cui Carl Yang 19 18 0 20 May 2023
Transformer-Based Hierarchical Clustering for Brain Network Analysis Wei Dai Hejie Cui Xuan Kan Ying Guo S. V. Rooij Carl Yang 22 12 0 06 May 2023
Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features Saurabh Sihag Fangchang Ma Corey McMillan Angela Dai 22 3 0 02 May 2023
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks Yue Yu Xuan Kan Hejie Cui Ran Xu Yu Zheng ... Kun Zhang Razieh Nabi Ying Guo Chaogang Zhang Carl Yang 11 17 0 01 Nov 2022
Predicting Brain Age using Transferable coVariance Neural Networks Saurabh Sihag Gonzalo Mateos Corey McMillan Alejandro Ribeiro 13 6 0 28 Oct 2022
Brain Network Transformer Xuan Kan Wei Dai Hejie Cui Zilong Zhang Ying Guo Carl Yang MedIm 6 101 0 13 Oct 2022
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
Spectral Maps for Learning on Subgraphs Marco Pegoraro R. Marin Arianna Rampini Simone Melzi Luca Cosmo Emanuele Rodolà 4 2 0 30 May 2022
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks Hejie Cui Wei Dai Yanqiao Zhu Xuan Kan Antonio Aodong Chen Gu Joshua Lukemire Liang Zhan Lifang He Ying Guo Carl Yang 6 110 0 17 Mar 2022
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs Hejie Cui Zijie Lu Pan Li Carl Yang 9 80 0 03 Jul 2021
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang W. Yu John E. Herr Olaf Wiest Meng-Long Jiang Nitesh V. Chawla AI4CE 106 168 0 16 Feb 2021
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 Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017