Sparse temporal knowledge graph completion based on path imitation
J Hu, L Bai, X Shang, G Feng, Y Gao - Neurocomputing, 2025 - Elsevier
Sparse temporal knowledge graph completion is a particular task in temporal knowledge
graph completion, which aims to use the sparse knowledge in the sparse temporal …
graph completion, which aims to use the sparse knowledge in the sparse temporal …
Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model
Temporal Knowledge Graph Forecasting (TKGF) aims to predict future events based on the
observed events in history. Recently, Large Language Models (LLMs) have exhibited …
observed events in history. Recently, Large Language Models (LLMs) have exhibited …
Triangle Matters! TopDyG: Topology-aware Transformer for Link Prediction on Dynamic Graphs
Dynamic graph link prediction is widely utilized in the complex web of the real world, such as
social networks, citation networks, recommendation systems, etc. Recent Transformer-based …
social networks, citation networks, recommendation systems, etc. Recent Transformer-based …