Basically, a Knowledge Graph (KG) is a graph variant that represents data via triplets comprising a head, a tail, and a relation.

This paper proposes a hybrid variant, composed of TransE and SimplE models, for solving KGC problems.

Abstract—Basically, a Knowledge Graph (KG) is a graph variant that represents data via triplets comprising a head, a tail, and a relation.

Jan 1, 2023 · In that regard, this paper proposes a hybrid variant, composed of TransE and SimplE models, for solving KGC problems. On one hand, the TransE ...

A hybrid variant, composed of TransE and SimplE models, for solving KGC problems, using the principle of inverse-relation embedding onto the native TransE ...

In that regard, this paper proposes a hybrid variant, composed of TransE and SimplE models, for solving KGC problems. On one hand, the TransE model depicts a ...

HTransE: Hybrid Translation-based Embedding for Knowledge Graphs. A Shah, B Molokwu, Z Kobti. 2022 IEEE International Conference on Knowledge Graph (ICKG), 233- ...

HTransE: Hybrid Translation-based Embedding for Knowledge Graphs pp. 233-240. Deep Semantic-Enhanced Event Detection via Symmetric Graph Convolutional Network ...

Apr 25, 2024 · Akshay Shah, Bonaventure C. Molokwu, Ziad Kobti: HTransE: Hybrid Translation-based Embedding for Knowledge Graphs. ICKG 2022: 233-240; 2021.

HTransE: Hybrid Translation-based Embedding for Knowledge Graphs. A Shah, B Molokwu, Z Kobti. 2022 IEEE International Conference on Knowledge Graph (ICKG) ...