Princeton's Dr. Jean H. Prévost and Serguei Bagrianski have released a book with World Scientific, entitled, An Introduction to Matrix Structural Analysis and Finite Element Methods. Based on a course ...

Graph rewiring techniques are used to modify the structure of graphs used to train models such as GNNs and graph transformers. However, rewiring inherently alters the structural properties of the ...

Abstract: Accurately predicting protein-ligand affinity is one of the critical steps in the field of drug design. While deep learning approaches have shown great potential, existing methods based on ...

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 ...

Aspect-oriented sentiment analysis is a meticulous sentiment analysis task that aims to analyse the sentiment polarity of specific aspects. Most of the current research builds graph convolutional ...