Graph Neural Networks (GNNs) are proposed without considering the agnostic distribution shifts between training graphs and testing graphs, inducing the degeneration of the generalization ability of ...

"I hear about normal distribution often, but how do I graph it?" To answer that question, I have summarized the steps to create a normal distribution graph in Excel. If the standard deviation is small ...

The US drug distribution sector plays a critical role in ensuring timely delivery of pharmaceuticals while driving supply chain efficiencies. The US population is aging, and with it, the need for more ...

The central limit theorem started as a bar trick for 18th-century gamblers. Now scientists rely on it every day. No matter where you look, a bell curve is close by. Place a measuring cup in your ...

Mathematicians just made a big leap forward on one of the field’s all-time favorite problems. Curves—squiggly lines through space, such as a comet’s trajectory or a stock market trend—are some of math ...

CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ is a senior reporter ...

Abstract: Graph neural networks (GNNs) have shown promise in graph classification tasks, but they struggle to identify out-of-distribution (OOD) graphs often encountered in real-world scenarios, ...

A critical vulnerability in the Erlang/OTP SSH, tracked as CVE-2025-32433, has been disclosed that allows for unauthenticated remote code execution on vulnerable devices. The flaw was discovered by ...

Blood sugar management is crucial for people with diabetes, but target levels vary based on individual factors, not just age. While there are general guidelines for blood sugar levels based on age ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...