Уақытша білім графы
Related Papers
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation
AbstractIn the last few years, there has been a surge of interest in learning representations of entities and relations in knowledge graph (KG). However, the recent availability of temporal knowledge …...
Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs
AbstractThere has been an increasing interest in inferring future links on temporal knowledge graphs (KG). While links on temporal KGs vary continuously over time, the existing approaches model the temporal …...
Question Answering Over Temporal Knowledge Graphs
AbstractTemporal Knowledge Graphs (Temporal KGs) extend regular Knowledge Graphs by providing temporal scopes (start and end times) on each edge in the KG. While Question Answering over KG (KGQA) has …...
Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings
AbstractRepresentation learning approaches for knowledge graphs have been mostly designed for static data. However, many knowledge graphs involve evolving data, e.g., the fact (The President of the United States is …...
A Simple Temporal Information Matching Mechanism for Entity Alignment between Temporal Knowledge Graphs
AbstractEntity alignment (EA) aims to find entities in different knowledge graphs (KGs) that refer to the same object in the real world. Recent studies incorporate temporal information to augment the …...
Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs
AbstractTemporal Knowledge Graph (TKG) reasoning has attracted increasing attention due to its enormous potential value, and the critical issue is how to model the complex temporal structure information effectively. Recent …...
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs
AbstractQuestion answering over temporal knowledge graphs (KGs) efficiently uses facts contained in a temporal KG, which records entity relations and when they occur in time, to answer natural language questions …...
RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion
AbstractTemporal factors are tied to the growth of facts in realistic applications, such as the progress of diseases and the development of political situation, therefore, research on Temporal Knowledge Graph …...
Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding
AbstractKnowledge Graphs (KGs) stores world knowledge that benefits various reasoning-based applications. Due to their incompleteness, a fundamental task for KGs, which is known as Knowledge Graph Completion (KGC), is to …...