Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
TORONTO and BARCELONA, SPAIN and SYDNEY, June 29, 2026 /CNW/ - GreenCore Solutions Corp. (GSC), a leader in AI Agents for CPG manufacturers, today announced the launch of the industry's first CPG ...
According to a recent Gartner analysis on why GenAI projects fail, roughly half of generative AI initiatives are abandoned ...
The resulting knowledge graph provides a robust framework for understanding sepsis, supporting clinical decision-making, and facilitating further research. The success of this approach underscores the ...
Abstract: Aiming at the issue that most of the existing knowledge graph-based methods for personalized learning resource recommendations do not take full advantage of collaborative signals from ...
Abstract: At present, although knowledge graphs have been widely used in various fields such as recommendation systems, question and answer systems, and intelligent search, there are always quality ...
This is the PyTorch implementation for DiffKG proposed in the paper DiffKG: Knowledge Graph Diffusion Model for Recommendation, which is accepted by WSDM 2024 Oral. Yangqin Jiang, Yuhao Yang, Lianghao ...
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