Graph machine learning (or graph model), represented by graph neural networks, employs machine learning (especially deep learning) to graph data and is an important research direction in the ...
If open source is the new normal in enterprise software, then that certainly holds for databases, too. In that line of thinking, Github is where it all happens. So to have been favorited 10.000 times ...
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 ...
If you are interested in learning how to build knowledge graphs using artificial intelligence and specifically large language models (LLM). Johannes Jolkkonen has created a fantastic tutorial that ...
TigerGraph, the scalable graph database for the enterprise, announced free licenses for TigerGraph Enterprise, an offering that will empower customers to easily use graph analytics and algorithms that ...
SAP AI's strategy unfolds - on foundation models, cloud migrations, and how customers should respond
In the conclusion of my discussion with Dr. Philipp Herzig, SAP's Chief AI Officer, we get into SAP's foundation model plans, and why SAP is building a Knowledge Graph. A companion podcast with Geoff ...
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