A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover ...

Chemical separation, including gas separation, is a common process that is required for manufacturing and research. It accounts for a whopping 15 percent of U.S. energy consumption and produces ...

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 ...

Graph data, e.g., social and biological networks, financial transactions, knowledge graphs, and transportation systems are pervasive in the natural world, where nodes are entities with features, and ...