Abstract: Learning contextual features such as interactions among various biological entities is vital for whole slide images (WSI)-based cancer diagnosis and prognosis. Graph-based methods have ...

Abstract: Graph contrastive learning is usually performed by first conducting Graph Data Augmentation (GDA) and then employing a contrastive learning pipeline to train GNNs. As we know that GDA is an ...

The new Fabric Graph database is now rolling out and should be available to everyone within the next few weeks if you can’t see it already. The key to learning a new data-related technology is, I ...