Graph machine learning (or graph model), represented by graph neural networks, employs machine learning (especially deep learning) to graph data and is an important research direction in the ...

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 ...

The new model, a fine-tuned version of Meta’s LLama 3.3, is the first open-source implementation of a system known as graph retrieval-augmented generation, or GraphRAG. Unlike conventional AI ...