… that leverages time-aware prior probabilities and word embeddings in the entity linking task.
… We believe that making entity linking time-aware can increase the quality of annotations, …

… entity alignment between TKGs, which can model temporal relational graphs with an efficient
time-aware … , ie, where KGs are fixed, and entities or timestamps cannot be easily added. In …

… of GNN models in entity alignment, in this paper, we propose a novel Time-aware Entity
Alignment approach based on Graph Neural Networks (TEA-GNN) for entity alignment between …

… for entity recommendation. In this paper, we address this gap by introducing the task of
time-aware entity … for entity recommendation by leveraging heterogeneous knowledge of …

… of the query entity from entities with similar names. We explore the utility of our entity
linking tool1 to refine the document scores produced by the SDM method. Due to time con- …

… , entity recommendation and entity linking. Given an entity, for instance a person or an
organization, entity … for generating a list of highly-related entities. However, the relation of an …

… between time-sensitive entities and facts. To deal with this limitation, we introduce Time-Aware
KB Embedding which constrains the task by incorporating temporal constraints. …

… entities for a given user query in a time-aware setting. We formulate the time-aware entity
search task as follows: given an entity … For entity linking [1, 2], where the goal is to link words or …

… Subsequently, we employ GNNs to learn global entity … and entities, we introduce a time-aware
attention mechanism that assigns different importance weights to different time-aware …

… a link prediction model for temporal knowledge hypergraphs and learns static and dynamic
representations of entities … utilized as final entity embedding vectors for link prediction tasks to …