To drive the development of such AI, we must develop a new test—let’s call it the Gardner test—in which an AI is surprised ...

While a number of approaches have been proposed to tackle the problem of graph extraction, a quantitative evaluation of those algorithms remains a challenging task: In many cases, manual generation of ...

Abstract: Attribute graph embedding algorithms based on graph neural networks aggregate information about the neighborhood of a target node to update the embedding of the target node, i.e.