The report titled "Technological Advances and Practical Applications of Knowledge Graphs in the Power Sector" by the ...

One powerful way to do this is through a routine called slow reveal graphs.

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...

Explore how Neo4j’s Infinigraph unifies analytical and transactional data, removing ETL bottlenecks to power next-gen GenAI ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process ...

COLUMBUS, Ohio (WCMH) — The Public Utilities Commission of Ohio rejected a bid from Amazon, Google and others to overturn AEP’s new tariff, or rate structure, specifically for data centers. Amazon and ...

A galaxy proto-supercluster was discovered using VIMOS instrument of ESO’s Very Large Telescope. The astronomers who discovered it have nicknamed the bohemoth “Hyperion.” It has been visualized here.

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...

Bitcoin is trading almost $11,000 below its Aug. 14 record, according to CoinDesk data, but FalconX’s head of research says the market’s internal structure still looks “extremely bullish.” In a post ...

What if your AI could not only retrieve information but also uncover the hidden relationships that make your data truly meaningful? Traditional vector-based retrieval methods, while effective for ...