Starting with small and simple concepts, and gradually introducing compl...
Graph neural networks (GNNs) have achieved great success in node
classif...
In this paper, we study the problem of legal domain adaptation problem f...
The abundant sequential documents such as online archival, social media ...
Node classification is a central task in graph data analysis. Scarce or ...
Zero-shot graph embedding is a major challenge for supervised graph lear...
In high-dimensional data space, semi-supervised feature learning based o...