Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

Abstract: Acquiring labelled data for machine learning tasks, for example, for software performance prediction, remains a resource-intensive task. This study extends our previous work by introducing a ...

A curated list of top giveaways, airdrops and special activation offers ...

I don’t use Microsoft Excel all that often, so it remains a bit of a mystery to me. I can enter text and create graphs and that’s basically it. That’s why I’ve set myself a goal to learn one new Excel ...