Abstract: Bayesian Personalized Ranking (BPR) is a widely used optimization function in GNN-based recommender systems, and negative samples are usually obtained through the Random Negative Sampling ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Due to the proprietary methodology and the volume of correspondence we receive, we are unable to respond to questions about the rate index. The following list attempts to answer the most common ...

The graphs of \(y = 2x + 1\) and \(y = 2x - 2\) are shown below. The graph of \(y = 2x + 1\) crosses the \(y\)-axis at (0, 1). The graph of \(y = 2x - 2\) crosses the ...

The best time to visit Tulum is between November and December. You'll get the benefit of post hurricane-season breezes, plus the hotel prices are reasonable. Not to say that it's hard to find ...

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Chip Stapleton is a Series 7 and Series 66 license holder, CFA Level 1 exam holder, and ...

A breakthrough deal to attempt to limit global temperature rises was agreed at a conference of world nations in December 2015. These charts from the time show how and why the Earth’s climate is ...

Abstract: Multi-view clustering (MVC) strives to reveal the hidden correlations and potential distribution of data from multiple views. However, most existing methods separate feature extraction and ...

The rapid accumulation of protein sequence data, coupled with the slow pace of experimental annotations, creates a critical need for computational methods to predict protein functions. Existing models ...

We aim to build a pre-trained Graph Neural Network (GNN) model on molecules without human annotations or prior knowledge. Although various attempts have been proposed to overcome limitations in ...