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 ...
Abstract: Temporal Knowledge Graph Question Answering (TKGQA) aims to address problems with temporal constraints using a Temporal Knowledge Graph (TKG). Existing models often overlook the structural ...
Abstract: Personalized learning has gained significant attention in recent years in response to the limitations of one-size-fits-all approaches to teaching, particularly in areas such as programming ...
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