70 citations · 184 across the 16 of their papers we have counts for
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cs.AI2022★ 1 cited
RulE: Knowledge Graph Reasoning with Rule Embedding
Xiaojuan Tang, Song-Chun Zhu, Yitao Liang +1
Knowledge graph (KG) reasoning is an important problem for knowledge graphs. In this paper, we propose a novel and principled framework called \textbf{RulE} (stands for {Rul}e {E}m…
cs.AI2017★ 70 cited
A Semantic Loss Function for Deep Learning with Symbolic Knowledge
Jingyi Xu, Zilu Zhang, Tal Friedman +2
This paper develops a novel methodology for using symbolic knowledge in deep learning. From first principles, we derive a semantic loss function that bridges between neural output…