More information: Xiaorui Su et al, Interpretable identification of cancer genes across biological networks via ...

GNNs is considered state of the art in machine learning, and they can have better accuracy in making predictions compared to conventional neural networks. Integrating GNNs with graph databases is ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Bringing knowledge graph and machine learning technology together can improve the accuracy of the outcomes and augment the potential of machine learning approaches. With knowledge graphs, AI language ...

More information: Janghoon Ock et al, Multimodal language and graph learning of adsorption configuration in catalysis, Nature Machine Intelligence (2024). DOI: 10.1038/s42256-024-00930-7 . On ...

At InfoWorld, Serdar has covered software development, devops, containerization, machine learning, and artificial intelligence, winning several B2B journalism awards including a 2024 Neal Award ...

This article explores what knowledge graphs are, why they are becoming a favourable data storage format, and discusses their potential to improve artificial intelligence and machine learning ...

More information: Janghoon Ock et al, Multimodal language and graph learning of adsorption configuration in catalysis, Nature Machine Intelligence (2024). DOI: 10.1038/s42256-024-00930-7 . On ...