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 ...
Technically, the hyperlink is the web’s basic unit. Yet links also describe API connections, knowledge graph relationships, ...
DeepMind COO Lila Ibrahim discusses building powerful AI with care, ethics and a long-term focus on human impact.
Universities can leverage selective outsourcing to build a lean, adaptive technology transfer office that enhances collaboration and responds to external funding cycles ...
Researchers at Shanghai Jiao Tong University have made a groundbreaking discovery in the field of Temporal Knowledge Graphs ...
SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
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 ...
Co-production is a methodology that leverages the expertise of practitioners and community members to develop holistic solutions to multifaceted problems at the intersection of society and the ...
Legislative and regulatory activity throughout 2025 and the beginning of 2026 reflects sustained federal and state attention ...
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