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FLEX: Feature-Logic Embedding Framework for CompleX Knowledge Graph Reasoning. (arXiv:2205.11039v2 [cs.AI] UPDATED)
cs.LG updates on arXiv.org arxiv.org
Current best performing models for knowledge graph reasoning (KGR) introduce
geometry objects or probabilistic distributions to embed entities and
first-order logical (FOL) queries into low-dimensional vector spaces. They can
be summarized as a center-size framework (point/box/cone, Beta/Gaussian
distribution, etc.). However, they have limited logical reasoning ability. And
it is difficult to generalize to various features, because the center and size
are one-to-one constrained, unable to have multiple centers or sizes. To
address these challenges, we instead propose a novel KGR …
arxiv embedding feature flex framework graph knowledge knowledge graph logic reasoning