I covered the two most common mistakes beginners make with line art—and one trick that instantly levels it up. From pen size ...

Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for ...

Abstract: Graph Contrastive Learning (GCL) has emerged as the foremost approach for self-supervised learning on graph-structured data. GCL reduces reliance on labeled data by learning robust ...

Technology allows dairy farmers to track each cow’s health and production, but the challenge now is learning how to use all ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

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, ...