Fix README.md

README.md

@@ -29,9 +29,9 @@ drugs and diseases (edge inference) or predict the type of edge (drug) between t
 Four models will be generated using different libraries to compare them and use the one, or a combination of models,
 that fits the project's necessities the most. All the models have encoder-decoder (GraphSAGE-Dot product) architectures,
 the use of different architectures will be studied in the future. These are the generated models and their status:
-- 🟢 **DeepSnap:** Passed validation tests, proved to be functional and works well.
-- 🟡 **DGL:** Halted before validation tests, it seems that there is data leakage between the train and the validation set.
-- 🟡 **DGL Classification:** Halted before validation tests, need to work on memory management.
+- 🟢 **DeepSnap:** Passed verification tests, proved to be functional and works well.
+- 🟡 **DGL:** Halted before verification tests, it seems that there is data leakage between the train and the validation set.
+- 🟡 **DGL Classification:** Halted before verification tests, need to work on memory management.
 - 🟠 **Pytorch Geometric:** Could not develop a functional GNN model.
 
 ### Symbol legend: