Novel Approach to Node Representation Learning on Graphs

This research paper explores a new method for learning node representations on graphs using graph view transformations. The focus on fully inductive learning suggests potential benefits in scalability and adaptability to unseen nodes.

• •Focuses on fully inductive node representation learning.
• •Utilizes graph view transformations, a novel technique.
• •Potentially improves scalability and adaptability.