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TEQA: Temporal knowledge graph enhanced question answering

delete2025-06-27
delete0
PRE
AI
Q
Qian Liu
S
Siling Feng
M
Mengxing Huang
DOI：10.1016/j.knosys.2025.113916delete
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Abstract

Abstract

En 中文
• Temporal Context Modeling: Uses wavelet-based decomposition and attention gating to resolve temporal ambiguities in natural language questions. • Knowledge-enhanced Multimodal Embedding Network: Unifies question semantics and TKG entities in a hyperbolic embedding space. • Dynamic Subgraph Reasoner: Executes temporal-aware pruning and retains valid event sequences with multi-hop reasoning.

Journal

K
Knowledge-Based Systems
IF:
7.6
Papers:
1.2W
Citations:
4.5W

Organization

No organization information available