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09/05/2023
Dynamic Brain Transformer with Multi-level Attention for Functional Brain Network Analysis
Recent neuroimaging studies have highlighted the importance of network-c...
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06/07/2023
A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises
Healthcare knowledge graphs (HKGs) have emerged as a promising tool for ...
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06/05/2023
R-Mixup: Riemannian Mixup for Biological Networks
Biological networks are commonly used in biomedical and healthcare domai...
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05/06/2023
Transformer-Based Hierarchical Clustering for Brain Network Analysis
Brain networks, graphical models such as those constructed from MRI, hav...
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01/10/2023
Neighborhood-Regularized Self-Training for Learning with Few Labels
Training deep neural networks (DNNs) with limited supervision has been a...
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10/13/2022
Brain Network Transformer
Human brains are commonly modeled as networks of Regions of Interest (RO...
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06/09/2022
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning
Brain networks characterize complex connectivities among brain regions a...
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05/25/2022
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation
Functional magnetic resonance imaging (fMRI) is one of the most common i...
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03/17/2022
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks
Mapping the connectome of the human brain using structural or functional...
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07/23/2021
Effective and Interpretable fMRI Analysis via Functional Brain Network Generation
Recent studies in neuroscience show great potential of functional brain ...
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07/11/2021
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration
Relation prediction among entities in images is an important step in sce...
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08/14/2019