Abstract: With the advancement of technology, the field of multi-channel time series forecasting has emerged as a focal point of research. In this context, spatio-temporal graph neural networks have ...

Abstract: Fully distributed learning schemes based on opportunistic exchanges among nodes, such as Gossip Learning (GL), have recently attracted attention due to their superior scalability, robustness ...

According to God of Prompt, integrating temporal graphs into Retrieval-Augmented Generation (RAG) systems by adding timestamps to every node and edge allows organizations to track changes in knowledge ...

TGM is a research library for temporal graph learning, designed to accelerate training on dynamic graphs while enabling rapid prototyping of new methods. It provides a unified abstraction for both ...

The majority of other information websites display prices from a single source, most of the time from one retail broker-dealer. At FXStreet, traders get interbank rates coming from a systematic ...

The observed near flatness of galactic rotation curves has long been interpreted as evidence for large amounts of non-baryonic dark matter. Here we show that this phenom ...

The best time to visit Tulum is between November and December. You'll get the benefit of post hurricane-season breezes, plus the hotel prices are reasonable. Not to say that it's hard to find ...

GP services have dramatically worsened under Labour as more people wait more than a month to see one, along with plummeting treatment satisfaction levels and soaring patient numbers. It comes as new ...

Chocolate or strawberry? Life or death? We make some choices quickly and automatically, relying on mental shortcuts our brains have developed over the years to guide us in the best course of action.

Search has evolved into a complex, multi-dimensional ecosystem where “being visible” means far more than simply holding the top spot. In 2026, with AI ...

Keeping pests in check on your property is less about raw power and more about choosing tools you can afford to shoot often ...