no code implementations • 16 Jun 2022 • Xueliang Wang, Jianyu Cai, Shuiwang Ji, Houqiang Li, Feng Wu, Jie Wang
A major novelty of SALA is the task-adaptive metric, which can learn the metric adaptively for different tasks in an end-to-end fashion.
no code implementations • 24 Mar 2022 • Jie Wang, Zhanqiu Zhang, Zhihao Shi, Jianyu Cai, Shuiwang Ji, Feng Wu
Semantic matching models -- which assume that entities with similar semantics have similar embeddings -- have shown great power in knowledge graph embeddings (KGE).
no code implementations • 12 Jul 2021 • Jianyu Cai, Jiajun Chen, Taoxing Pan, Zhanqiu Zhang, Jie Wang
To address this challenge, we propose a framework that integrates three components -- a basic model ComplEx-CMRC, a rule miner AMIE 3, and an inference model to predict missing links.
3 code implementations • NeurIPS 2020 • Zhanqiu Zhang, Jianyu Cai, Jie Wang
Tensor factorization based models have shown great power in knowledge graph completion (KGC).
Ranked #2 on Link Prediction on YAGO3-10
9 code implementations • 21 Nov 2019 • Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang
HAKE is inspired by the fact that concentric circles in the polar coordinate system can naturally reflect the hierarchy.
Ranked #1 on Knowledge Graph Completion on WN18RR