research
∙
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...
share
research
∙
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 ...
research
∙
06/05/2023
R-Mixup: Riemannian Mixup for Biological Networks
Biological networks are commonly used in biomedical and healthcare domai...
research
∙
06/01/2023
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction
Information extraction, e.g., attribute value extraction, has been exten...
research
∙
05/30/2023
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models
Large language models (LLMs) have significantly advanced the field of na...
research
∙
05/06/2023
Transformer-Based Hierarchical Clustering for Brain Network Analysis
Brain networks, graphical models such as those constructed from MRI, hav...
research
∙
01/10/2023
Neighborhood-Regularized Self-Training for Learning with Few Labels
Training deep neural networks (DNNs) with limited supervision has been a...
research
∙
10/13/2022
Brain Network Transformer
Human brains are commonly modeled as networks of Regions of Interest (RO...
research
∙
06/30/2022
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
Human brains lie at the core of complex neurobiological systems, where t...
research
∙
06/09/2022
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning
Brain networks characterize complex connectivities among brain regions a...
research
∙
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...
research
∙
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...
research
∙
01/12/2022
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation
Graph neural networks (GNNs), as a group of powerful tools for represent...
research
∙
08/31/2021
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning
Recently, heterogeneous Graph Neural Networks (GNNs) have become a de fa...
research
∙
07/23/2021
Effective and Interpretable fMRI Analysis via Functional Brain Network Generation
Recent studies in neuroscience show great potential of functional brain ...
research
∙
07/11/2021
BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis
Interpretable brain network models for disease prediction are of great v...
research
∙
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...
research
∙
07/07/2021
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis
Multimodal brain networks characterize complex connectivities among diff...
research
∙
07/03/2021
Pulmonary Vessel Segmentation based on Orthogonal Fused U-Net++ of Chest CT Images
Pulmonary vessel segmentation is important for clinical diagnosis of pul...
research
∙
07/03/2021