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Carl Yang
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A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises
Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM
Biomedical Visual Instruction Tuning with Clinician Preference Alignment
LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data
Brain Network Analysis with Graph Neural Network
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting
R-Mixup: Riemannian Mixup for Biological Networks
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis
Brain Network Analysis with Graph Neural Network
Neighborhood-regularized Self-Training for Learning with Few Labels
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks
Brain Network Transformer
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs
Interpretable GNNs for Connectome-Based Brain Disorder Analysis
FBNetGen: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration
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