Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Traditional caching fails to stop "thundering ...
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 and ...
Bitnine Releases AgensGraph 2.1, the Multi-model Graph Database Optimized for the Legacy Environment
The world's only multi-model graph database combining relational (PostgreSQL) and graph model Enterprise graph database that integrates legacy data environment Raising $10 million for AgensGraph ...
The NOSQL world is crowded with data stores that offer variations on key-value storage. These so-called aggregate-oriented# stores often have beneficial operational characteristics when compared to ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. It’s time to look at the real meaning of generative AI. To be clear, ChatGPT isn’t sentient ...
Graph databases excel for apps that explore many-to-many relationships, such as recommendation systems. Let’s look at an example Jeff Carpenter is a technical evangelist at DataStax. There has been a ...
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