Graph-structured data are pervasive in the real-world such as social networks, molecular graphs and transaction networks.

How do convolutional neural networks work? Convolutional neural networks work by extracting features from input data through convolutional layers and learning to classify the input data through ...

Laisong Kang, Wave Monitoring Based on Improved Convolution Neural Network, Journal of Coastal Research, Special Issue No. 94: Selected Topics in Coastal Research: Engineering, Industry, Economy, and ...

A team of chemistry, life science, and AI researchers are using graph neural networks to identify molecules and predict smells. Models made by researchers outperform current state-of-the-art ...