Graph neural networks (GNNs) witness impressive performances on homophilic graphs characterized by a higher number of edges connecting nodes of similar class labels. A decline in the performance of ...

And while his current work is deeply technical, it’s rooted in something surprisingly human: identity, narrative, and the ...

Recent years have witnessed the explosive growth of data annotation due to the deep learning algorithm's thirst for labelled datasets. To ease the workload of data annotation, researchers begin to ...