Arangoflix notebooks finalize (#81)

* replaced gnn recommender with original from Sachin, replaced matrix factorization with Alex's original updated to colab

* ran nbstripout

* updates tutorialNames to be uniform

Co-authored-by: Chris Woodward <cw00dw0rd@gmail.com>

Author: ArthurKeen

notebooks/arangoflix/predict_Movie_Rating_GNN.ipynb

@@ -142,7 +142,7 @@
    "source": [
     "import oasis\n",
     "\n",
-    "con = oasis.getTempCredentials(tutorialName=\"Movie Demo AQL Collaborative Filtering\")\n",
+    "con = oasis.getTempCredentials(tutorialName=\"MovieRecommendations_AQL_Collaborative_Filtering\")\n",
     "\n",
     "# Connect to the temp database\n",
     "conn = oasis.connect(con)\n",

notebooks/arangoflix/recommend_movie_collaborative_filtering_aql.ipynb

@@ -123,7 +123,7 @@
    "source": [
     "import oasis\n",
     "\n",
-    "con = oasis.getTempCredentials(tutorialName=\"Movie Demo KG TFIDF AQL integration\")\n",
+    "con = oasis.getTempCredentials(tutorialName=\"MovieRecommendations_TFIDF_AQL\")\n",
     "\n",
     "# Connect to the temp database\n",
     "conn = oasis.connect(con)\n",

notebooks/arangoflix/similarMovie_MF_ML_Inference.ipynb

@@ -140,7 +140,7 @@
    "source": [
     "import oasis\n",
     "\n",
-    "con = oasis.getTempCredentials(tutorialName=\"Movie Demo KG TFIDF ML integration\")\n",
+    "con = oasis.getTempCredentials(tutorialName=\"MovieRecommendations_TFIDF_ML\")\n",
     "\n",
     "# Connect to the temp database\n",
     "conn = oasis.connect(con)\n",