chore: use HALKWalker and WideSampler for literals

Author: rememberYou

examples/literals.py

@@ -9,7 +9,8 @@
 from pyrdf2vec import RDF2VecTransformer
 from pyrdf2vec.embedders import Word2Vec
 from pyrdf2vec.graphs import KG
-from pyrdf2vec.walkers import RandomWalker
+from pyrdf2vec.samplers import WideSampler
+from pyrdf2vec.walkers import HALKWalker
 
 # Ensure the determinism of this script by initializing a pseudo-random number.
 RANDOM_STATE = 22
@@ -32,8 +33,17 @@
     Word2Vec(workers=1, epochs=10),
     # Extract all walks with a maximum depth of 2 for each entity using two
     # processes and use a random state to ensure that the same walks are
-    # generated for the entities.
-    walkers=[RandomWalker(2, None, n_jobs=2, random_state=RANDOM_STATE)],
+    # generated for the entities without hashing as MUTAG is a short KG.
+    walkers=[
+        HALKWalker(
+            2,
+            None,
+            n_jobs=2,
+            sampler=WideSampler(),
+            random_state=RANDOM_STATE,
+            md5_bytes=None,
+        )
+    ],
     verbose=1,
 ).fit_transform(
     KG(