Reduce verbose tqdm output in node2vec_movielens (#2306)

Author: LakshmiKalaKadali

examples/graph/ipynb/node2vec_movielens.ipynb

@@ -456,7 +456,12 @@
     "    nodes = list(graph.nodes())\n",
     "    for walk_iteration in range(num_walks):\n",
     "        random.shuffle(nodes)\n",
-    "        for node in tqdm(nodes, desc=f\"Random walks iteration {walk_iteration + 1}\"):\n",
+    "        for node in tqdm(\n",
+    "            nodes,\n",
+    "            desc=f\"Random walks iteration {walk_iteration + 1}\",\n",
+    "            leave=False,\n",
+    "            mininterval=1.0,\n",
+    "        ):\n",
     "            walk = [node]\n",
     "            while len(walk) < num_steps:\n",
     "                current = walk[-1]\n",
@@ -579,7 +584,12 @@
     "    example_weights = defaultdict(int)\n",
     "\n",
     "    # Iterate over all walks\n",
-    "    for sequence in tqdm(sequences, desc=\"Generating positive and negative examples\"):\n",
+    "    for sequence in tqdm(\n",
+    "        sequences,\n",
+    "        desc=\"Generating positive and negative examples\",\n",
+    "        leave=False,\n",
+    "        mininterval=1.0,\n",
+    "    ):\n",
     "        # Use our manual skipgrams function\n",
     "        pairs, labels = manual_skipgrams(\n",
     "            sequence,\n",