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.