Abstract: Variational graph auto-encoders (VGAEs) are a key tool for node clustering, but existing models face several significant challenges. These challenges include a mismatch between inference and ...

TrASPr is an important contribution that leverages transformer models focused on regulatory regions to enhance predictions of tissue-specific splicing events. The evidence supporting the authors' ...

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A team of researchers have developed a domain adaption framework capable of transferring knowledge from solar power plants with abundant data to plants that need to be trained without labelled data.

Abstract: Graph representation learning is a fundamental research theme and can be generalized to benefit multiple downstream tasks from the node and link levels to the higher graph level. In practice ...

Northwestern University biophysicists have developed a new computational tool for identifying gene combinations underlying complex illnesses such as diabetes, cancer, and asthma. Unlike single-gene ...

Northwestern University biophysicists have developed a new computational tool for identifying the gene combinations underlying complex illnesses like diabetes, cancer and asthma. Unlike single-gene ...

A new technical paper titled “Generative AI for Analog Integrated Circuit Design: Methodologies and Applications” was published by researchers at McMaster University. “Electronic Design Automation ...

Baltic is the official timekeeper of Tour Auto, a French circuit race that pits rare and celebrated historic cars driven by hobbyists and collectors against each other. Whether you’re a classic car ...

The measure is intended to bring car factories to the United States but could increase prices for consumers significantly. The president said the tariffs will start next week. Ana Swanson Jack Ewing ...