DCGCN decomposes the 3D point cloud data of a molecule into three components: atomic sequence, atomic connectivity, and a distance map. From its connectivity and distance information, DCGCN captures ...

LangGraph has unveiled its latest update, version 0.3, which includes the introduction of prebuilt AI agents in both Python and JavaScript. This release aims to streamline the development of AI agents ...

The Multi-level Graph Convolution Neural Network (MLGCN) model is an ultra-efficient approach for 3D point cloud analysis that utilizes shallow Graph Neural Networks (GNN) blocks to extract features ...

Learning to build 3D scene graphs is essential for real-world perception in a structured and rich fashion. However, previous 3D scene graph generation methods utilize a fully supervised learning ...

Spread the loveThe power of 3D graphics is undeniable. But what if you could create compelling visual experiences using only the humble ASCII character set? Enter the fascinating world of ASCII 3D ...

Developers can take advantage of artificial intelligence (AI) algorithms and AI hardware to utilize sensor data to maintain the 4D scene graphs (3D plus time) that users can view in near real time.

Description I'm having problems with Jupyter Lab to visualize some plots, such as 3D graphs and Profile Reports, normally functions that end up using javascript are buggy. I've already reinstalled ...

Recent advancements in deep learning methods, especially graph neural networks (GNNs), have shown promise in improving the accuracy of predicting experimental chemical shifts, either by using 2D ...