Search Results for author: Leslie O'Bray

Found 5 papers, 2 papers with code

Structure-Aware Transformer for Graph Representation Learning

no code implementations7 Feb 2022 Dexiong Chen, Leslie O'Bray, Karsten Borgwardt

To address this issue, we propose the Structure-Aware Transformer, a class of simple and flexible graph transformers built upon a new self-attention mechanism.

Graph Representation Learning

Towards a Taxonomy of Graph Learning Datasets

no code implementations27 Oct 2021 Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew Hirn, Guy Wolf, Ladislav Rampášek

Graph neural networks (GNNs) have attracted much attention due to their ability to leverage the intrinsic geometries of the underlying data.

Graph Learning

Graph Kernels: State-of-the-Art and Future Challenges

1 code implementation7 Nov 2020 Karsten Borgwardt, Elisabetta Ghisu, Felipe Llinares-López, Leslie O'Bray, Bastian Rieck

Graph-structured data are an integral part of many application domains, including chemoinformatics, computational biology, neuroimaging, and social network analysis.

Cannot find the paper you are looking for? You can Submit a new open access paper.