proposed a graph machine learning model, namely TREE, based on the Transformer framework. With this novel Transformer-based architecture, TREE not only identifies the most influential omics data ...

Machine learning is the ability of a machine to improve ... We introduce a dual-view graph neural network (GNN) framework called scNET that integrates scRNA-seq data with protein–protein ...

leading teams in Machine Learning, Machine Intelligence, Computer Perception, Natural Language Understanding and Quantum Computing. He previously founded the K nowledge Graph team at Google, building ...