Уақытша білім графтары
Related Papers
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
AbstractInferring missing facts in temporal knowledge graphs (TKGs) is a fundamental and challenging task. Previous works have approached this problem by augmenting methods for static knowledge graphs to leverage time-dependent …...
Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs
AbstractEntity alignment aims to identify equivalent entity pairs between different knowledge graphs (KGs). Recently, the availability of temporal KGs (TKGs) that contain time information created the need for reasoning over …...
An Adaptive Logical Rule Embedding Model for Inductive Reasoning over Temporal Knowledge Graphs
AbstractTemporal knowledge graphs (TKGs) extrapolation reasoning predicts future events based on historical information, which has great research significance and broad application value. Existing methods can be divided into embedding-based methods …...
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning
AbstractReasoning over Temporal Knowledge Graphs (TKGs) aims to predict future facts based on given history. One of the key challenges for prediction is to learn the evolution of facts. Most …...
TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning
AbstractExtrapolation reasoning on temporal knowledge graphs (TKGs) aims to forecast future facts based on past counterparts. There are two main challenges: (1) incorporating the complex information, including structural dependencies, temporal …...