By creating a visual representation of students’ performance, teachers can help them make sense of their skills and areas for ...

Graph convolutional networks (GCNs) emerge as the most successful learning models for graph-structured data. Despite their success, existing GCNs usually ignore the entangled latent factors typically ...

Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

These notebook and notepad picks offer a satisfying writing experience with different types of pens and pencils.