In the realm of Artificial Intelligence (AI), knowledge graphs stand as a crucial innovation, particularly influential in areas like machine learning and natural language processing (NLP).

Using Knowledge Graphs for Ultimate Business Knowledge Data and key business information can continuously be extracted with the help of specialized AI techniques and machine learning models. However, ...

and machine learning. According to Communications of the ACM (hereafter referred to as ACM), knowledge graphs are important for deepening understanding of ideas and technologies in a variety of ...

You can even generate embeddings from this graph (encompassing both its data and its structure) that can be used in machine learning pipelines or as an integration point to LLMs. But a knowledge ...

Before gen AI, companies used to try to create knowledge graphs with machine learning. “We used to use natural language processing to create knowledge graphs, using name entity recognition and ...

the industry’s first knowledge graph coprocessor for the data cloud. Nikolaos has over 20 years of experience implementing high-value machine learning and AI solutions across various industries.

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

knowledge graphs, and transportation systems are pervasive in the natural world, where nodes are entities with features, and edges denote relations among them. Machine learning and recently, graph ...