Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...

GitHub-Contribution-Graph is an awesome tool for dynamically generating contribution graphs that show your GitHub contributions. It can be used anywhere, you can download the image, share the link, or ...

Deep extreme classification (XC) seeks to train deep architectures that can tag a data point with its most relevant subset of labels from an extremely large label set. The core utility of XC comes ...

Abstract: Handling noisy data is a longstanding challenge in machine learning, and the complexity increases when working with graph structured data. In domains such as social networks, biological ...

The U.S. Food and Drug Administration intends to place a black box warning on COVID-19 vaccines, CNN reported, citing sources. Black box warnings appear at the top of prescribing information for ...