Update README.md

README.md

@@ -20,10 +20,10 @@ Training is performed through a continuous learning pipeline executed via GitHub
 SemanticGAN is a research prototype for Knowledge Graph Completion built around a Wasserstein Generative Adversarial Network. The model is trained on the DBLP Computer Science Bibliography and is designed to generate candidate RDF triples that correspond to plausible but previously unobserved relations in the graph.
 
 All source code, training scripts, and technical documentation are maintained in the main GitHub repository at  
-https://github.com/erdemonal11/SemanticGAN
+https://github.com/erdemonal/SemanticGAN
 
 A live dashboard showing training metrics and generated outputs is available at  
-https://erdemonal11.github.io/SemanticGAN
+https://erdemonal.github.io/SemanticGAN
 
 ## Repository Contents