Graph Neural Networks (GNNs) are a framework for graph representation learning, where a
model learns to generate low dimensional node embeddings that encapsulate structural and …

Graph Neural Networks (GNNs) have become the state-of-the-art method for many
applications on graph structured data. GNNs are a model for graph representation learning …

There has been significant progress in creating machine learning models that identify
objects in scenes along with their associated attributes and relationships; however, there is …

In the past decade, deep learning has given new life to the field of artificial intelligence,
providing many breakthroughs in areas like computer vision, natural language processing …