Recently, graph neural networks (GNNs) have been successfully applied to...
Recently, finetuning a pretrained language model to capture the similari...
With the great success of deep learning in various domains, graph neural...
Recent studies on neural networks with pre-trained weights (i.e., BERT) ...
With the increase of available time series data, predicting their class
...
The goal of network embedding is to transform nodes in a network to a
lo...