Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls,
and Interpretations

Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations

17 September 2024

Paul J. Laurienti

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Papers citing "Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations"

9 / 9 papers shown

Title
Learning Covariance-Based Multi-Scale Representation of Neuroimaging Measures for Alzheimer Classification Seunghun Baek Injun Choi Mustafa Dere Minjeong Kim Guorong Wu Won Hwa Kim 120 3 0 03 Mar 2025
Learning to Approximate Adaptive Kernel Convolution on Graphs Jaeyoon Sim Sooyeon Jeon Injun Choi Guorong Wu Won Hwa Kim 61 3 0 22 Jan 2024
Data-Driven Network Neuroscience: On Data Collection and Benchmark Jiaxing Xu Yunhan Yang David Tse Jung Huang S. S. Gururajapathy Yiping Ke Miao Qiao Alan Wang Haribalan Kumar Josh McGeown Yunhan Yang 36 8 0 11 Nov 2022
BolT: Fused Window Transformers for fMRI Time Series Analysis H. Bedel Irmak Sivgin Onat Dalmaz S. Dar Tolga Çukur 112 58 0 23 May 2022
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 423 2,682 0 04 May 2021
AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting Jiawei Zhu Chao Tao Hanhan Deng Ling Zhao Qiongjie Wang Tao Lin Haifeng Li GNN AI4TS 62 127 0 22 Nov 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca Stefanos Zafeiriou M. Bronstein 127 436 0 16 Jun 2020
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 245 7,681 0 01 Oct 2018
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 652 29,154 0 09 Sep 2016