Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration, i.e., ...

Roll Tide! No that’s more like it. This graphing column, I’ll admit, is a much more interesting read when we’re breaking down ...

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are ...

Struct2GO is a protein function prediction model based on self-attention graph pooling, which utilizes structural information from AlphaFold2 to augment the accuracy and generality of the model's ...

Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human designed to ...

The U.S. dollar will weaken over coming months as market participants ponder the Federal Reserve's future independence and ...

Introduction Paternal prepubertal passive smoke exposure may increase the risk of childhood asthma. However, its association ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

However, while ClickUp offers a lot, its numerous add-ons can get pricey, and some of its advanced features fall short of ...

About Context-Aware RAG library for Knowledge Graph ingestion and retrieval functions.

The Policy Benefits and Mechanisms of Service Sector Liberaliza Based on panel data from Beijing, this study employs a ...

A newly discovered "timekeeper" for fighting infections dramatically shapes the body's immune defenses, offering insight as ...