GNN, a framework to train robust GNNs under noisy conditions. Soft-GNN mitigates label noise impact through dynamic ...

At ARVO 2025, in Salt Lake City, Utah, Patipol Tiyajamorn, talked about his poster on using graph neural networks to identify ...

In the coming years, small and medium-sized businesses must incorporate AI to remain competitive in an ever-changing business ...

Bring AI to your database! Learn how to build smarter apps with vector search in SQL Server & Azure Cosmos DB -- no extra AI ...

FGC constructs the spatial graphs and model dynamic spatial correlations from traffic subsequences and the missing-data graph in the presence of missing features. The proposed DSTMIN is adequately ...

To address the challenges posed by non-IID and long-tailed distribution data in FGL, this paper proposes a method called FedGAC to train a globally balanced model. In the local stage, FedGAC employs ...

Learn how large language models like ChatGPT make knowledge graph creation accessible, revealing hidden connections in your ...

The updates span Microsoft Fabric, Azure Cosmos DB, SQL Server, Power BI, PostgreSQL and integrations with Databricks Inc.’s ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

The Fabric with Copilot function is meant to "thoughtfully" integrate gen AI into the platform, said Microsoft. The tool ...