3 datasets found

Graph Neural Networks (GNNs) have become a popular approach for various applications, ranging from social network analysis to modeling chemical properties of molecules.

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

A dataset of small molecules for benchmarking molecule generation methods. The dataset consists of fingerprints of the molecules, and the goal is to predict the original...