Graph Neural Networks in TensorFlow
Bryan Perozzi, Sami Abu-El-Haija, Anton Tsitsulin · 2023
Graphs are general data structures that can represent information from a variety of domains (social, biomedical, online transactions, and many more). Graph Neural Networks (GNNs) are quickly becoming the de-facto Machine Learning models for learning from Graph data and hereby infer missing information, such as, predicting labels of nodes or imputing missing edges.