Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

In the paper, author considers a new method for constructing the quasi-equilibrium thermodynamics of a system of ...

Researchers have developed an intelligent decision support system for CNC system fault diagnosis, utilizing LLMs and domain knowledge graph (KG) technologies.

Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation (WWW-2025). This is a PyTorch implementation of the GraphATA algorithm, which tries to address the ...

Control charts have two general uses in an improvement project. Undeniably, the most common application is as a tool to ...

However, domain-specific approaches for extracting knowledge graph representations from semantic information remain limited. In this paper, we develop a natural language processing (NLP) approach to ...

Gladkov, Pak, and Zimin found many small-graph examples that satisfied the conjecture, but in the end, those did not reflect the more complicated, less intuitive graphs they could build when given ...

The fast-rising pace of attacks is driving a graph database arms race across leading cybersecurity providers.

Continuous compounding assumes interest is compounded and added to the balance an infinite number of times. See how this accelerates returns.

Graph Library for Swift Swift Graphs library provides a composable and extensible foundation for working with graphs. Whether you're constructing binary trees, performing complex graph traversals, or ...

Cross-training employees to work in a range of positions creates a continuous workplace improvement as it allows for a more smoothly run operation. Having trained staff members to step in when ...