Update requirements

CustomDataset/Text/Base.py

 from torch_geometric.data import HeteroData
 from nltk.corpus import stopwords
 import nltk
-
-# Ensure NLTK stopwords are available
-try:
-    STOP_WORDS = set(stopwords.words('english'))
-except LookupError:
-    nltk.download('stopwords')
-    STOP_WORDS = set(stopwords.words('english'))
+import ssl
 
 class Base:
     def __init__(self, path, bag_of_words_size=100, remove_all_false_values=True):
         self.path = path
         self.bag_of_words_size = bag_of_words_size
         self.remove_all_false_values = remove_all_false_values
+                
+        try:
+            self.stop_words = set(stopwords.words('english'))
+        except LookupError:
+            try:
+                _create_unverified_https_context = ssl._create_unverified_context
+            except AttributeError:
+                pass
+            else:
+                ssl._create_default_https_context = _create_unverified_https_context
+
+            nltk.download('stopwords')
+            self.stop_words = set(stopwords.words('english'))
+
         self.dataset = HeteroData()
 
     def fetch_themes(self, num_groups, grouped_keywords_path=''):

CustomDataset/Text/DBLP.py

@@ -33,12 +33,6 @@ class DBLP(Base):
         Each label (genre) gets its own top bag_of_words_size keywords.
         """
 
-        try:
-            self.stop_words = set(stopwords.words('english'))
-        except LookupError:
-            nltk.download('stopwords')
-            self.top_words = set(stopwords.words('english'))
-
         # Load authors
         author_ids, author_labels, author_id_dict = self._get_authors()
 

Utils/ConvertToOWL.py

@@ -431,7 +431,7 @@ def convert_to_owl(data: Union[HeteroData, Data], namespace: str, owlGraphPath:
     if isinstance(data, HeteroData):
         return SingleGraphOWLConverter(data, namespace, owlGraphPath, high_level_concepts, **kwargs)
     else:
-        return MultiGraphOWLConverter(data, namespace, owlGraphPath, high_level_concepts, **kwargs)
+        return MultiGraphOWLConverter(data, namespace, owlGraphPath, high_level_concepts=high_level_concepts, **kwargs)
 
 if __name__ == "__main__":
     # Example usage with MUTAG dataset

requirements.txt

@@ -13,7 +13,10 @@ joblib==1.4.2
 mpmath==1.3.0
 multidict==6.0.5
 networkx==3.3
+nltk==3.9.1
 numpy==2.1.0
+ontolearn==0.6.0
+openai==1.59.7
 psutil==6.0.0
 pyparsing==3.1.2
 requests==2.32.3
@@ -26,4 +29,4 @@ torch_geometric==2.5.3
 tqdm==4.66.5
 urllib3==2.2.2
 yarl==1.9.4
-dotenv==0.0.5
\ No newline at end of file
+python-dotenv==1.0.1
\ No newline at end of file