Anthropic’s Claude AI can now generate interactive charts and diagrams directly inside chat, bringing real-time visual explanations to conversations.

Abstract: Graph neural networks (GNNs) have demonstrated significant success in solving real-world problems using both static and dynamic graph data. While static graphs remain constant, dynamic ...

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

A software engineer and book author with many years of experience, I have dedicated my career to the art of automation. A software engineer and book author with many years of experience, I have ...

Wolves are looking to back Rob Edwards in the January window, and we understand one player they are looking at is Lille forward Matias Fernandez-Pardo, and they lead three rivals in the race for his ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: This paper focuses on representation learning for dynamic graphs with temporal interactions. A fundamental issue is that both the graph structure and the nodes own their own dynamics, and ...

I want to use batching or dynamic batching with a decoupled python model. However the usual approach of iterating over requests and appending tensor to a global list does not work. The reason for this ...