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

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 ...

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 ...

Available starting today, Neo4j Aura Graph Analytics is said to work with any kind of data source, including Oracle, Microsoft SQL, Databricks, Google BigQuery, Snowflake and Microsoft OneLake.

In this paper, we present a novel data structure, called the Mixture Graph. This data structure allows us to compress, render, and query segmentation histograms. Such histograms arise when building a ...

Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly detection ...

Overall, the choice between VBA and Python for Excel automation depends on your specific needs. Even though it's outdated, ...

Writing complex data structures in Go can help developers better understand the principles of pointers and references.