Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...
Description The Artemis II mission patch appears in the center screen of the Space Flight Operations Facility at NASA’s Jet ...
Scientists at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a model capable of ...
The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...
Abstract: The advent of single-cell RNA-sequencing (scRNA-seq) technology promotes biological analysis at the cellular level. Clustering cells to identify the type of cell is an important step in ...
Fuzzy set theory, an extension of classical set theory, provides a mathematical framework for handling uncertainty and imprecision. This paper provides some key properties of fuzzy sets, emphasizing ...
I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. In ...
Abstract: Recently, significant strides have been made in the field of representation learning. Nevertheless, prior methods have predominantly centered on supervised learning, which necessitates a ...
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