Abstract: Knowledge Graph Embedding (KGE) involves embedding entities and relations from a knowledge graph (KG) into continuous vector spaces, learning the representations of entities and relations ...
Abstract: This paper introduces a new approach to developing a compact dual-wideband feeding network designed to support simultaneous operation across distinct frequency bands, addressing the evolving ...
SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...
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