Update model name in readme.

README.md

@@ -10,7 +10,7 @@ tags:
 
 ### 🧩 Method Overview
 
-We propose **HDHGSurv** (Hierarchical Directed Heterogeneous Graph), a Graph Neural Network architecture for multimodal survival prediction that models the clinical pathway as a directed heterogeneous graph with temporal progression.
+We propose **H2DGSurv** (Hierarchical Directed Heterogeneous Graph), a Graph Neural Network architecture for multimodal survival prediction that models the clinical pathway as a directed heterogeneous graph with temporal progression.
 
 <p align="center">
   <img src="./figures/method_overview.png" alt="Method Overview" width="800">
@@ -43,7 +43,7 @@ We acknowledge [Kist et al. 2024](https://www.nature.com/articles/s41597-024-035
 > This project is based on the work by Miccinilli and Di Piazza 2025. If you use this code in your research, we would appreciate reference to the following paper:
 
 ```BibTeX
-@inproceedings{mcdp2025hdhg,
+@inproceedings{mcdp2025h2dg,
   author    = {Hugo Miccinilli and Theo Di Piazza},
   title     = {Replicating Patient Follow-Up with Hierarchical Directed Graphs for Head and Neck Cancer Survival Analysis},
   booktitle = {Arxiv preprint},