I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Edge perturbation is a basic method to modify graph structures. It can be categorized into two veins based on their effects on the performance of graph neural networks (GNNs), i.e., graph data ...

LiDAR and camera are complementary sensors for 3D object detection in autonomous driving. However, it is challenging to explore the unnatural interaction between point clouds and images, and the ...

🐛 Describe the bug While testing both eager and aot_eager modes, I observed that aot_eager does not capture exceptions as expected. I found that during graph optimization, the torch.cuda.synchronize ...

Google has introduced LangExtract, an open-source Python library designed to help developers extract structured information from unstructured text using large language models such as the Gemini ...

Attackers used 11 Go and 2 npm packages to spread malware across platforms, putting open-source developers at risk.

IRAN has reportedly asked the Taliban to hand over a bombshell list of MI6 spies and British special forces accidentally leaked by the UK government. Fresh fears are brewing that the data breach co… ...

3D CFD Surrogate Modeling with RegDGCNN This project implements a Regression Dynamic Graph-Based CNN Model (RegDGCNN) to predict the pressure distribution over 3D geometries using Point Cloud Data.