Update README.md

README.md

@@ -14,17 +14,17 @@ Attentive Graph Neural Network (AGNN) is a new recommendation framework tailored
 + MovieLens-1M
    + For the MoiveLens dataset, we crawl the corresponding IMDB dataset as movie auxiliary information, including genre, director, and actor. Note that we automatically remove the movies without auxilairy information. We then combined MovieLens and IMDB by movie title and released year. The combined data is save in a txt file (auxiliary.txt) and the format is as follows:
 
-     `id:1|genre:Animation,Adventure,Comedy|director:John Lasseter|actors:Tom Hanks,Tim Allen,Don Rickles,Jim Varney`
+      ```id:1|genre:Animation,Adventure,Comedy|director:John Lasseter|actors:Tom Hanks,Tim Allen,Don Rickles,Jim Varney```
 
    + For the original user-movie rating data, we remove all items without auxiliary information. The data is save in a txt file (rating-delete-missing-itemid.txt) and the format is as follows:  
 
-      `userid itemid rating timestamp`
+       ```userid itemid rating timestamp```
 
 + Last-FM
    + This is the music listening dataset collected from Last.fm online music systems. Wherein, the tracks are viewed as the items. In particular, we take the subset of the dataset where the timestamp is from Jan, 2015 to June, 2015. For Last-FM,we map items into Freebase entities via title matching if there isa mapping available. 
 + Yelp
    + It records user ratings on local business scaled from 1-5. Additionally, social relations as well as business attributes (e.g., category, city) are also included. For Yelp, we extract item knowledge from the local business information network (e.g., category, location,
 and attribute) as KG data. The format is as follows:
 
-   `id:11163|genre:Accountants,Professional Services,Tax Services,Financial Services|city:Peoria`
+      ```id:11163|genre:Accountants,Professional Services,Tax Services,Financial Services|city:Peoria```
 ## Modules