1 citations · 2 across the 2 of their papers we have counts for
2 papers
quant-ph2023★ 1 cited
Enhancing Graph Neural Networks with Quantum Computed Encodings
Slimane Thabet, Romain Fouilland, Mehdi Djellabi +4
Transformers are increasingly employed for graph data, demonstrating competitive performance in diverse tasks. To incorporate graph information into these models, it is essential t…
quant-ph2022★ 1 cited
Extending Graph Transformers with Quantum Computed Aggregation
Slimane Thabet, Romain Fouilland, Loic Henriet
Recently, efforts have been made in the community to design new Graph Neural Networks (GNN), as limitations of Message Passing Neural Networks became more apparent. This led to the…