Selecting the right material from countless possibilities remains a central hurdle in materials discovery. Theory-driven ...

Edge perturbation is a basic method to modify graph structures. It can be categorized into two veins based on their effects on the performance of graph neural networks (GNNs), i.e., graph data ...

Although graph neural networks based methods can solve the uneven text length problem of text classification datasets, they are difficult to address the data sparsity problem of short texts. Although ...

At the U.S. Open, cocktails have come to rival the matches. Grey Goose’s Honey Deuce redefined a sport known for its seriousness, while Aperol Spritzes, Dobel Palomas, and Moët Champagne are ...