Abstract: Recently, self-supervised learning has shown great potential in Graph Neural Networks (GNNs) through contrastive learning, which aims to learn discriminative features for each node without ...

Our weekly simulation for U.S. Treasury yields and spreads. Read the latest update in the article series here, as of December ...

Making optimal investment decisions in retirement is one of the biggest challenges in personal finance – how have you ...

Abstract: Negative samples are usually used in previous contrastive learning methods, but such methods often have major defects in graph contrastive learning. In the knowledge graph, the potential ...

Do you often replay the bad yet always forget the good? Here’s the science behind negative thought spirals and how to find balance and resilience. Do you know why our brains can replay our most ...