A graph transformer that uses learnable quantum-walk encodings as attention biases reports modest, statistically unvalidated accuracy gains on five TUDatasets.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
GQWformer: A Quantum-based Transformer for Graph Representation Learning
A graph transformer that uses learnable quantum-walk encodings as attention biases reports modest, statistically unvalidated accuracy gains on five TUDatasets.