Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...

In this tutorial, we guide you through the development of an advanced Graph Agent framework, powered by the Google Gemini API. Our goal is to build intelligent, multi-step agents that execute tasks ...

Abstract: Graph neural networks (GNNs) are capable of modeling graph data using various types of nodes and edges, and thus can be widely used in the fields of recommender systems and bioinformatics.

Scientists discovered that the red stigmas in wind-pollinated trees accumulate anthocyanin, the same compounds that are revealed in autumn leaves after green chlorophyll production slows down and ...

Niall Byrne, chief financial officer of QIA (Qatar Investment Authority), the country’s wealth fund, discussed from Doha his two-year tenure and his focus on transforming the QIA’s finance function to ...

Hormones are the body’s chemical messengers. They act on various tissues and organs in the body to change their behavior. For example, the hormone prolactin stimulates the production of breastmilk.

Abstract: In recent years, reconstructing features and learning node representations by graph autoencoders (GAE) have attracted much attention in deep graph node clustering. However, existing works ...

Graph database vendor Neo4j Inc. is teaming up with Snowflake Inc. to make a library of Neo4j’s graph analytics functions available in the Snowflake cloud. The deal announced today allows users to ...