TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph

Understand

Multi-hop logical reasoning over knowledge graph (KG) plays a fundamental role in many artificial intelligence tasks.

• Recent complex query embedding (CQE) methods for reasoning focus on static KGs, while temporal knowledge graphs (TKGs) have not been fully explored.
• Reasoning over TKGs has two challenges: 1.
• The query should answer entities or timestamps; 2.