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README.md

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 # GALAX: Graph-Augmented Language Model for Explainable Reinforcement-Guided Subgraph Reasoning in Precision Medicine
 
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-  <img src="./GALAX-logo.png" width="40%" alt="GALAX" />
+  <img src="https://github.com/FuhaiLiAiLab/GALAX/blob/main/Figures/GALAX-logo.png?raw=true" width="40%" alt="GALAX" />
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 ## 🧩 Model Overview
 
-![GALAX Overall Architecture](./Figure3.png)
+![GALAX Overall Architecture](https://github.com/FuhaiLiAiLab/GALAX/blob/main/Figures/Figure3.png?raw=true)
 
 **GALAX** is a graph-augmented language model designed for explainable target prioritization in precision medicine. It combines three key components:  
 - **LLaMA3-8B-Instruct** as the language backbone, further adapted with the BioMedGraphica corpus and fine-tuned on Target-QA.