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This library is an OSS port of a Google-internal library used in a broad variety of contexts, on homogeneous and heterogeneous graphs, and in conjunction with other scalable graph mining tools. For ...

Abstract: Although Graph Neural Networks (GNNs) have exhibited the powerful ability to gather graph-structured information from neighborhood nodes via various message-passing mechanisms, the ...

Abstract: Knowledge Graphs (KGs), with their intricate hierarchies and semantic relationships, present unique challenges for graph representation learning, necessitating tailored approaches to ...

The researchers say the technology could eventually support more personalised care, allowing treatments to be better matched to how an individual’s heart is functioning. A new artificial intelligence ...

A new artificial intelligence tool could speed up the search for treatments for heart disease, according to a new study. Cardiovascular diseases (CVDs) are the leading cause of death and disability ...

pggb builds pangenome variation graphs from a set of input sequences. A pangenome variation graph is a kind of generic multiple sequence alignment. It lets us understand any kind of sequence variation ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in ...