Below we show a small example program that introduces the RandomEnvironment struct, which provides a high-level interface for sampling from distributions and calculating probabilities. It ...

Abstract: When distribution shifts occur between testing and training graph data, out-of-distribution (OOD) samples undermine the performance of graph neural networks (GNNs). To improve adaptive OOD ...

While this library is for now standalone, the goal is to get both the mathematical function as well as the distributions into torch core package. See also pytorch/pytorch#108948. The torchlambertw ...

Abstract: Graph filtering is the cornerstone operation in graph signal processing (GSP). Thus, understanding it is key in developing potent GSP methods. Graph filters are local and distributed linear ...

When you reach the bottom, there's only one way, and that is up. I feel a bit of Yazz coming on. Jon Peddie Research (JPR) has published its Q3 2025 AIB market share report, showing a slight shift in ...