1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
Learning Granularity Representation for Temporal Knowledge Graph Completion
Jinchuan Zhang, Tianqi Wan, Chong Mu +2
Temporal Knowledge Graphs (TKGs) incorporate temporal information to reflect the dynamic structural knowledge and evolutionary patterns of real-world facts. Nevertheless, TKGs are…
cs.LG2024
Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning
Jinchuan Zhang, Ming Sun, Chong Mu +3
Temporal Knowledge Graph (TKG) reasoning focuses on predicting events through historical information within snapshots distributed on a timeline. Existing studies mainly concentrate…
cs.AI2023
Learning Multi-graph Structure for Temporal Knowledge Graph Reasoning
Jinchuan Zhang, Bei Hui, Chong Mu +1
Temporal Knowledge Graph (TKG) reasoning that forecasts future events based on historical snapshots distributed over timestamps is denoted as extrapolation and has gained significa…