# Goodreads Datasets

## Dataset Description
The Goodreads datasets consist of four datasets, specifically labeled as Goodreads-History, Goodreads-Crime, Goodreads-Children, and Goodreads-Cosmics. The Goodreads datasets are a user-book review network. It includes information about books, users and reviews. Nodes represent books and users. Text on a book node is the description of the book. Text on a user node is the `user`.  The book text includes the following information: `The book [title] is a [format] edition published by [publisher] in [publication_month] [publication_year] about [description], consisting of [num_pages].` Edges represent relationships between books and users. Text on an edge means a user's review of a book. 


## Graph Machine Learning Tasks

### Link Prediction
Link prediction in the Goodreads dataset involves predicting potential connections between users and books.  The goal is to predict whether a user will review a book.

### Node Classification
Node classification tasks in the Goodreads dataset include predicting the book's category. 

## Dataset Source
https://mengtingwan.github.io/data/goodreads.html