An Associated Press article deleted a statement on Wednesday from climate scientist Michael Mann, famous for pursuing a libel ...

Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

AG1 is a greens powder containing over 70 ingredients. Most of it is freeze-dried vegetable powder blends. Basically, instead ...

These are two examples of how climate scientists manipulate data to generate scary-looking charts. Global warming is real, ...

To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.

The importance of graphs in physics lab experiments. Learn how visual data reveals patterns, relationships, and experimental errors, making results clearer and more meaningful. #PhysicsLab ...

When processing a large number of input files, the ECE partitioning method consumes excessive memory and often crashes with out-of-memory errors. This makes it unusable for large-scale knowledge graph ...

Good morning, everyone, and welcome to Sabio Holdings Third Quarter 2025 Earnings Call. The financial statements and management discussion and analysis are available on SEDAR+. Today is Tuesday, ...

All of modern mathematics is built on the foundation of set theory, the study of how to organize abstract collections of objects. But in general, research mathematicians don’t need to think about it ...

America’s overdose crisis isn’t the simple story we’ve been told for years. A new investigation reveals how two key graphs — one famous, one ignored — shift entirely the way we understand what ...