In this article we study such a negative sampling strategy, which exploits quantum superposition, and evaluate the model's performance with a knowledge graph ...
Because the size of knowledge graphs are becoming larger, one of the natural choices is to exploit quantum computing for knowledge graph embedding. Recently, a ...
This work proposes the first quantum Ansätze for the statistical relational learning on knowledge graphs using parametric quantum circuits and shows that ...
Apr 25, 2024 · Pulak Ranjan Giri, Mori Kurokawa, Kazuhiro Saito : Quantum Negative Sampling Strategy for Knowledge Graph Embedding with Variational Circuit ...
May 21, 2024 · Quantum Negative Sampling Strategy for Knowledge Graph Embedding with Variational Circuit. Conference Paper. Sep 2023. Pulak Ranjan Giri · Mori ...
Quantum Negative Sampling Strategy for Knowledge Graph Embedding with Variational Circuit. ... Evaluating Variational Quantum Circuit Designs for Knowledge Graph ...
In this article we study such a negative sampling strategy, which exploits quantum superposition, and evaluate the model's performance ...
We propose a variational quantum circuit for modeling knowledge graphs by introducing quantum representations of entities. In particular, latent representations ...
Missing: Strategy | Show results with:Strategy
Quantum Negative Sampling Strategy for Knowledge Graph Embedding with Variational Circuit. Wei-Hao Huang, Hiromichi Matsuyama, Kohji Nishimura and Yu ...
Quantum Negative Sampling Strategy for Knowledge Graph Embedding with Variational Circuit pp. 280-281. Quantum Relaxation Based Branch-and-Bound Algorithm pp.