101 citations · 292 across the 21 of their papers we have counts for
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cs.AI2022
Search to Pass Messages for Temporal Knowledge Graph Completion
Zhen Wang, Haotong Du, Quanming Yao +1
Completing missing facts is a fundamental task for temporal knowledge graphs (TKGs). Recently, graph neural network (GNN) based methods, which can simultaneously explore topologica…
cs.AI2021★ 7 cited
Role-Aware Modeling for N-ary Relational Knowledge Bases
Yu Liu, Quanming Yao, Yong Li
N-ary relational knowledge bases (KBs) represent knowledge with binary and beyond-binary relational facts. Especially, in an n-ary relational fact, the involved entities play diffe…
cs.AI2019★ 3 cited
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding
Yongqi Zhang, Quanming Yao, Yingxia Shao +1
Knowledge Graph (KG) embedding is a fundamental problem in data mining research with many real-world applications. It aims to encode the entities and relations in the graph into lo…