7 datasets found

Graph representation learning typically aims to learn an informative embedding for each graph node based on the graph topology (link) information.

Wikipedia, Reddit, Mooc, and CollegeMsg datasets

The Cora citation network dataset is used to evaluate the performance of graph embedding methods on real-world data.

Graphs are essential tools to capture and model complicated relationships among data. In a variety of graph applications, including protein-protein interaction networks, social...

Graph embedding is an effective method to represent graph data in a low dimensional space for graph analytics. Most existing embedding algorithms typically focus on preserving...

This dataset contains graph-structured data and its corresponding features.

NELL is a large-scale, open knowledge graph that contains a vast amount of structured data.