12 datasets found

The dataset used in the paper is a real-world dataset for future link prediction task on dynamic graphs.

Temporal Knowledge Graph (TKG) datasets for link prediction task

Matrix factorization (MF) and Autoencoder (AE) are among the most successful approaches of unsupervised learning.

Matrix factorization (MF) and Autoencoder (AE) are among the most successful approaches of unsupervised learning.

Matrix factorization (MF) and Autoencoder (AE) are among the most successful approaches of unsupervised learning.

The dataset used in the paper is Twitter and Foursquare, two real-world aligned heterogeneous social networks.

Representing entities and relations in an embedding space is a well-studied approach for machine learning on relational data.

Representing entities and relations in an embedding space is a well-studied approach for machine learning on relational data.

Knowledge graphs store a wealth of knowledge from the real world into structured graphs, which consist of collections of triplets, and each triplet (h, r, t) represents that...

The dataset used in the paper is a multi-graph problem, where each graph represents a different network. The dataset is used to evaluate the performance of the RECS algorithm on...

The BlogCatalog dataset is a blog directory that manages bloggers and their blogs. Each unit is a blogger and the features are bag-of-words representations of keywords in...

The dataset used in the paper is a heterogeneous graph, which is a graph that contains multiple types of nodes and edges. The dataset is used for semi-supervised graph learning...