The Index Matrix vividly illustrates how different assets performed in the past. Here’s how Canadians can use it to improve ...

Graph pooling is the most crucial step designed to handle node representation from graph data and then produce appropriate graph representation which can be used for graph-level learning tasks.

CLR, a novel contrastive learning method using graph-based sample relationships. This approach outperformed traditional ...

Using graph neural networks to model recommendation scenarios can effectively capture high-order relationship features between objects, thereby helping the model better handle recommendation problems.