449 citations · 768 across the 44 of their papers we have counts for
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cs.AI2023
Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach
Zicheng Zhao, Linhao Luo, Shirui Pan +2
Few-shot inductive link prediction on knowledge graphs (KGs) aims to predict missing links for unseen entities with few-shot links observed. Previous methods are limited to transdu…
cs.AI2023
Do as I can, not as I get
Shangfei Zheng, Hongzhi Yin, Tong Chen +3
This paper proposes a model called TMR to mine valuable information from simulated data environments. We intend to complete the submission of this paper.
cs.AI2023★ 2 cited
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning
Shangfei Zheng, Hongzhi Yin, Tong Chen +3
Temporal knowledge graphs (TKGs) model the temporal evolution of events and have recently attracted increasing attention. Since TKGs are intrinsically incomplete, it is necessary t…