no code implementations • 23 Sep 2022 • Zhigang Kan, Linhui Feng, Zhangyue Yin, Linbo Qiao, Xipeng Qiu, Dongsheng Li
In this paper, we propose a novel composable prompt-based generative framework, which could be applied to a wide range of tasks in the field of Information Extraction.
2 code implementations • 27 May 2022 • Hongzhu Li, Xiangrui Gao, Linhui Feng, Yafeng Deng, Yuhui Yin
Conventional representation learning algorithms for knowledge graphs (KG) map each entity to a unique embedding vector, ignoring the rich information contained in the neighborhood.
Ranked #6 on Link Property Prediction on ogbl-wikikg2