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' ...

WASHINGTON, Dec 11 - Major automakers on Thursday urged Washington to prevent Chinese government-backed automakers and battery manufacturers from opening U.S. manufacturing plants, warning the ...

Abstract: Existing link prediction methods for graph-structured data produce entangled node representations by indiscriminately aggregating neighborhood information. This entanglement of diverse ...

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.

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 ...

This is the complementary repository for "Payment fraud identification by means of business process anomaly detection", the master thesis of Keyvan Amiri Elyasi submitted at the Junior Professorship ...