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

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

Key Points A multi-vari chart is a visual means of seeing multiple variations across a single data set. It is not a ...

In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking ...

TL;DR Key Takeaways : GraphRAG uses knowledge graphs instead of traditional vector databases, allowing deeper insights and relationships within datasets through structured data representation.

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...

The Graph and TRON integration introduces real-time data streaming, enabling developers access to live blockchain insights ...

CLR, a novel contrastive learning method using graph-based sample relationships. This approach outperformed traditional ...

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.

Fig. 1: A graphic representation of a GNN. GNNs excel at representing data as networks of objects and their interactions. This ability makes GNNs particularly well-suited for applications where data ...