Graph representation learning seeks to encode the structure and attributes of nodes and edges into low-dimensional vectors, enabling effective analysis of complex relational data. Early methods relied ...

With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

"This is what we need to do. It's not popular right now, but this is why the stuff that is popular isn't working." That's a gross oversimplification of what scientist, best-selling author, and ...