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

With more than 70,000 organizations depending on Oracle platforms, from ERP to cloud infrastructure, identity access risk is business-critical. According to Enlyft, over 22,000 companies run Oracle ...

K-Path centrality is based on the flow of information in a graph along simple paths of length at most K. This work addresses the computational cost of estimating K-path centrality in large-scale ...

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 ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

This system takes an unstructured text document, and uses an LLM of your choice to extract knowledge in the form of Subject-Predicate-Object (SPO) triplets, and visualizes the relationships as an ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Build AI into your enterprise content and knowledge management platform with 5 APIs that help you base your AI on enterprise ...

Here, molecular graphs derived from the one-electron density matrix are introduced within a more general effort to explore whether incorporating electronic structure awareness allows a single model to ...

Firstly, we design a graph sampling algorithm and a Graph2Seq module for constructing sub-graphs and their corresponding contexts to support large-scale knowledge graph learning and parallel training.