diff --git a/graph_datasets/utils/evaluation/eval_tools.py b/graph_datasets/utils/evaluation/eval_tools.py
index 8c2f01e..a7a4041 100644
--- a/graph_datasets/utils/evaluation/eval_tools.py
+++ b/graph_datasets/utils/evaluation/eval_tools.py
@@ -3,6 +3,7 @@
 # pylint: disable=invalid-name,invalid-name,too-many-locals
 import os
 import random
+from datetime import datetime
 
 import numpy as np
 import torch
@@ -303,3 +304,27 @@ def evaluate_results_nc(
         f1_mean,
         f1_std,
     )
+
+
+def save_embedding(
+    node_embeddings: torch.tensor,
+    dataset_name: str,
+    model_name: str,
+    params: dict,
+    save_dir: str = "./save",
+    verbose: bool or int = True,
+):
+    dataset_name = dataset_name.replace("_", "-")
+    timestamp = datetime.now().strftime("%Y%m%d%H%M%S")
+    file_name = f"{dataset_name.lower()}_{model_name.lower()}_embeds_{timestamp}.pth"
+    file_path = os.path.join(save_dir, file_name)
+
+    result = {
+        "node_embeddings": node_embeddings.cpu().detach(),
+        "hyperparameters": params,
+    }
+
+    torch.save(result, file_path)
+
+    if verbose:
+        print(f"Embeddings and hyperparameters saved to {file_path}")