This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules from graphs, and calculate key features such as the ...

The visit comes at a critical time, as Burkina Faso, Mali, and Niger recently withdrew from the Economic Community of West African States, raising concerns about worsening insecurity in the region.

Meanwhile, the field of graph machine learning is witnessing a paradigm transition from shallow methods to more sophisticated deep learning approaches. The capabilities of foundation models in ...

A study that surveyed the same Australian households every year for the last two decades has found economic inequality is at a 20-year-high. The HILDA survey, released by the University of ...

Then, these features, along with non-imaging information, is used to construct a population graph model. Finally, we design a graph convolution framework to propagate and aggregate the node features ...