Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis

Guangwei Dong; Xuexiong Luo; Jing Du; Jia Wu; Shan Xue; Jian Yang; Amin Beheshti

doi:10.1109/icdm59182.2024.00016

ScienceGate Book Chapters

JOURNAL ARTICLE

Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis

Guangwei Dong Xuexiong Luo Jing Du Jia Wu Shan Xue Jian Yang Amin Beheshti

Year: 2024 Pages: 91-100

DOI: 10.1109/icdm59182.2024.00016

Get Full-Text PDF Get Analytical Report

Keywords:

Counterfactual thinking Computer science Contrastive analysis Graph Natural language processing Artificial intelligence Psychology Theoretical computer science Linguistics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.29

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Functional Brain Connectivity Studies

Life Sciences → Neuroscience → Cognitive Neuroscience

EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis

Metrics

Topics

Related Documents

Contrastive learning for fair graph representations via counterfactual graph augmentation

Adversarial Contrastive Graph Augmentation with Counterfactual Regularization

Exploring graph contrastive learning for brain disorder analysis

Exploring graph contrastive learning for brain disorder analysis

An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis