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Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion. (arXiv:2209.07299v2 [cs.CL] UPDATED)
Sept. 19, 2022, 1:15 a.m. | Chen Chen, Yufei Wang, Bing Li, Kwok-Yan Lam
cs.CL updates on arXiv.org arxiv.org
Knowledge Graph Completion (KGC) has been recently extended to multiple
knowledge graph (KG) structures, initiating new research directions, e.g.
static KGC, temporal KGC and few-shot KGC. Previous works often design KGC
models closely coupled with specific graph structures, which inevitably results
in two drawbacks: 1) structure-specific KGC models are mutually incompatible;
2) existing KGC methods are not adaptable to emerging KGs. In this paper, we
propose KG-S2S, a Seq2Seq generative framework that could tackle different
verbalizable graph structures by unifying …
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