AI can now find patterns in complex data without needing a human to tell it where to look

A new method lets AI analyze complex network data, like social connections or chemical structures, by automatically finding important relationships. This means the AI can now identify patterns in these networks without a human expert first pointing out what to focus on.

For years, AI models struggled to make sense of complex, interconnected data without a lot of human help. This new approach automates a key part of that process, letting the AI discover important structural features on its own. It means AI can now be applied more easily to fields like drug discovery or fraud detection, where the relationships between data points are often more important than the individual points themselves.