Google's Universal Commerce Protocol isn't just an API, it's infrastructure for AI-native shopping. Learn why major retailers ...
SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...
Knowledge Graph, Large Language Model, BERT, Knowledge Management, Small and Medium-Sized Enterprises, Accounting, Supply Chain Management Zheng, Y. (2026) Knowledge Graph Application in KM for ...
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
Explore the 2026 AI trends in India, including the transition from experimental AI to scalable applications, the evolving ...
Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...
Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology ...
A Competitive Takeout Program designed to help organizations escape the high cost and complexity of legacy metadata ...
Deep Learning Methods, GNN Model, Community Service Work, China and USA, Neural Networks Share and Cite: Liu, J.X. (2026) A Comparative Study of Community Service Work between China and the United ...
Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in ...
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