6 citations · 12 across the 7 of their papers we have counts for
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cs.LG2023★ 6 cited
End-to-End Learning on Multimodal Knowledge Graphs
W. X. Wilcke, P. Bloem, V. de Boer +1
Knowledge graphs enable data scientists to learn end-to-end on heterogeneous knowledge. However, most end-to-end models solely learn from the relational information encoded in grap…
cs.AI2023★ 1 cited
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation
Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem +1
Knowledge Graph Embedding (KGE) models are used to learn continuous representations of entities and relations. A key task in the literature is predicting missing links between enti…