25 citations · 25 across the 1 of their papers we have counts for
3 papers
cs.LG2024
An end-to-end attention-based approach for learning on graphs
David Buterez, Jon Paul Janet, Dino Oglic +1
There has been a recent surge in transformer-based architectures for learning on graphs, mainly motivated by attention as an effective learning mechanism and the desire to supersed…
cs.LG2022★ 25 cited
Graph Neural Networks with Adaptive Readouts
David Buterez, Jon Paul Janet, Steven J. Kiddle +2
An effective aggregation of node features into a graph-level representation via readout functions is an essential step in numerous learning tasks involving graph neural networks. T…
cs.LG2021
Scaling up DNA digital data storage by efficiently predicting DNA hybridisation using deep learning
David Buterez
Deoxyribonucleic acid (DNA) has shown great promise in enabling computational applications, most notably in the fields of DNA digital data storage and DNA computing. Information is…