Abstract: While existing graph clustering methods can only be oriented to classical graph data, this study, as the first attempt, focuses on the proposed symmetric-tensor based graph and its ...

Abstract: Knowledge graph embedding (KGE) aims at learning powerful representations to benefit various artificial intelligence applications. Meanwhile, contrastive learning has been widely leveraged ...

We'd benefit from having a simple MaterialX example of the interior mapping technique in our repository, demonstrating how this shading effect can be built from the existing viewdirection node.

Covid-19 broke the charts. Decades from now, the pandemic will be visible in the historical data of nearly anything measurable today: an unmistakable spike, dip or jolt that officially began for ...

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 ...

The original version of this story appeared in Quanta Magazine. Much of mathematics is driven by intuition, by a deep-rooted sense of what should be true. But sometimes instinct can lead a ...

A compound lens forged by two galaxies is helping astronomers get a bead on the Hubble Constant and dark energy. Reading time 3 minutes A light source in space originally believed to be a galaxy ...