6 citations · 24 across the 26 of their papers we have counts for
Showing 2023Show all
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cs.AI2023★ 1 cited
Local-Global History-aware Contrastive Learning for Temporal Knowledge Graph Reasoning
Wei Chen, Huaiyu Wan, Yuting Wu +4
Temporal knowledge graphs (TKGs) have been identified as a promising approach to represent the dynamics of facts along the timeline. The extrapolation of TKG is to predict unknowab…
cs.CL2023★ 1 cited
Towards Enhancing Relational Rules for Knowledge Graph Link Prediction
Shuhan Wu, Huaiyu Wan, Wei Chen +3
Graph neural networks (GNNs) have shown promising performance for knowledge graph reasoning. A recent variant of GNN called progressive relational graph neural network (PRGNN), uti…
cs.AI2023★ 5 cited
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects
Haomin Wen, Youfang Lin, Lixia Wu +10
Instant delivery services, such as food delivery and package delivery, have achieved explosive growth in recent years by providing customers with daily-life convenience. An emergin…