25 citations · 29 across the 5 of their papers we have counts for
5 papers
MA-DAR: Manifold-Aligned Dynamic Adaptive Routing for Continual Temporal Knowledge Graph Reasoning
Xiangjun Shi, Chong Mu, Jinchuan Zhang +3
Continual temporal knowledge graph (TKG) reasoning aims to continuously incorporate newly emerging facts while preserving previously acquired knowledge. Replay-based continual lear…
SAMA: Semantic Anchor-aligned Augmentation for Unified Low-Resource Multimodal Information Extraction
Quanjiang Guo, Chong Mu, Jiazhou Pan +4
Multimodal Information Extraction (MIE)-covering tasks such as Multimodal Named Entity Recognition (MNER), Relation Extraction (MRE), and Event Extraction (MEE)-is essential for un…
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…
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…
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…