Web: http://arxiv.org/abs/2110.02510

Jan. 31, 2022, 2:11 a.m. | Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen

cs.LG updates on arXiv.org arxiv.org

In recent years, algebraic topology and its modern development, the theory of
persistent homology, has shown great potential in graph representation
learning. In this paper, based on the mathematics of algebraic topology, we
propose a novel solution for inductive relation prediction, an important
learning task for knowledge graph completion. To predict the relation between
two entities, one can use the existence of rules, namely a sequence of
relations. Previous works view rules as paths and primarily focus on the
searching …

arxiv learning prediction representation representation learning

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