Oct 15, 2019 · We propose a new context-aware Dynamic Knowledge Graph Embedding (DKGE) method which supports the embedding learning in an online fashion.

Aug 17, 2022 · We propose a new context-aware Dynamic Knowledge Graph Embedding (DKGE) method which supports the embedding learning in an online fashion.

Knowledge graph (KG) embedding encodes the entities and relations from a KG into low-dimensional vector spaces to support various applications such as KG ...

This work proposes an embedding method specifically designed for dynamic knowledge graphs that leverages the triple structure of neighboring nodes to the ...

Oct 22, 2024 · Knowledge graph (KG) embedding encodes the entities and relations from a KG into low-dimensional vector spaces to support various ...

Aug 9, 2022 · Tianxing Wu, Arijit Khan, Huan Gao, Cheng Li: Efficiently Embedding Dynamic Knowledge Graphs. CoRR abs/1910.06708 (2019).

Nov 22, 2023 · In this paper, we establish a new framework, allowing new and old knowledge to be gained from each other.

Dec 31, 2024 · Knowledge Graphs (KGs) provide a structured representation of knowledge but often suffer from challenges of incompleteness.

Aug 2, 2022 · We propose HET-KG, a distributed system for training knowledge graph embedding efficiently. HET-KG can reduce the communication overheads by introducing a ...

Knowledge graph embedding models have been effectively applied to tackle various graph-related problems, including link prediction. Yet, predictions of ...