21 citations · 60 across the 14 of their papers we have counts for
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cs.AI2024
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion
Jiapu Wang, Zheng Cui, Boyue Wang +4
Temporal Knowledge Graphs (TKGs) incorporate a temporal dimension, allowing for a precise capture of the evolution of knowledge and reflecting the dynamic nature of the real world.…
cs.AI2023★ 21 cited
A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects
Jiapu Wang, Boyue Wang, Meikang Qiu +8
Temporal characteristics are prominently evident in a substantial volume of knowledge, which underscores the pivotal role of Temporal Knowledge Graphs (TKGs) in both academia and i…
cs.AI2021★ 6 cited
CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering
Guangyu Huo, Yong Zhang, Junbin Gao +3
With the powerful learning ability of deep convolutional networks, deep clustering methods can extract the most discriminative information from individual data and produce more sat…