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 ...

In recent years, the field of embodied intelligence has witnessed significant advancements, with applications ranging from autonomous robotics and ...

Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic AI-enabled features to improve autonomy and speed.

Embodied intelligence applications, such as autonomous robotics and smart transportation systems, require efficient coordination of multiple agents in dynamic environments. A critical challenge 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 ...

Trajectory prediction is critical for safe and efficient autonomous driving, especially in scenarios with intricate road structures and complex interactions. To address this challenge, we propose a ...

Vertex Pharmaceuticals Incorporated is turning heads in the investment world. Recently spotlighted by analysts, this burgeoning pharmaceutical giant continues to make waves. Indeed, the buzz is ...

Model Explorer offers an intuitive and hierarchical visualization of model graphs. It organizes model operations into nested layers, enabling users to dynamically expand or collapse these layers. It ...

This source code archive accompanies the An end-to-end attention-based approach for learning on graphs paper, out now in Nature Communications. It includes the code required to run experiments ...

Vertex Pharmaceuticals ( VRTX +0.01%) has been a top pharma stock in recent years. It has been generating strong revenue ...