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Found 4 papers, 1 papers with code
A Survey on Temporal Knowledge Graph: Representation Learning and Applications
Knowledge graph representation learning aims to learn low-dimensional vector embeddings for entities and relations in a knowledge graph.
Temporal Knowledge Graph Completion with Time-sensitive Relations in Hypercomplex Space
Temporal knowledge graph completion (TKGC) aims to fill in missing facts within a given temporal knowledge graph at a specific time.
Knowledge Graph Completion
Temporal Knowledge Graph Completion
An Effective and Efficient Time-aware Entity Alignment Framework via Two-aspect Three-view Label Propagation
Entity alignment (EA) aims to find the equivalent entity pairs between different knowledge graphs (KGs), which is crucial to promote knowledge fusion.
Vehicle-Human Interactive Behaviors in Emergency: Data Extraction from Traffic Accident Videos
To fill this gap and facilitate related research, this paper provides a new yet convenient way to extract the interactive behavior data (i. e., the trajectories of vehicles and humans) from actual accident videos that were captured by both the surveillance cameras and driving recorders.
