Back in 2001, I wrote a column about the merits of using heterogeneous designs for signal processing-oriented applications. My argument went like this: Signal-processing applications typically ...

Heterogeneous graphs organize data with nodes and edges, and have been widely used in various graph-centric applications. Often, some data are omitted during manual construction, leading to data ...

Graph Neural Networks (GNN), a cutting-edge approach in artificial intelligence, can significantly improve computational calculations in heterogeneous catalysis. Researchers have made a groundbreaking ...