Leslie O'Bray

15 papers A* 3Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
The magnitude vector of images.
J. Appl. Comput. Topol.
Michael F. Adamer, Edward De Brouwer, Leslie O'Bray, Bastian Rieck
2023 J jnl
<tt>networkGWAS</tt> : a network-based approach to discover genetic associations.
Bioinform.
Giulia Muzio, Leslie O'Bray, Laetitia Meng-Papaxanthos, Juliane Klatt, Krista Fischer, Karsten M. Borgwardt
2023 — —
Leveraging global information for machine learning on graphs.
Leslie O'Bray
2022 A* conf
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions.
ICLR
Leslie O'Bray, Max Horn, Bastian Rieck, Karsten M. Borgwardt
2022 A* conf
Structure-Aware Transformer for Graph Representation Learning.
ICML
Dexiong Chen, Leslie O'Bray, Karsten M. Borgwardt
2022 J jnl
Structure-Aware Transformer for Graph Representation Learning.
CoRR
Dexiong Chen, Leslie O'Bray, Karsten M. Borgwardt
2022 — conf
Taxonomy of Benchmarks in Graph Representation Learning.
LoG
Renming Liu, Semih Cantürk, Frederik Wenkel, Sarah McGuire, Xinyi Wang, Anna Little, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek
2022 J jnl
Taxonomy of Benchmarks in Graph Representation Learning.
CoRR
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek
2021 J jnl
Biological network analysis with deep learning.
Briefings Bioinform.
Giulia Muzio, Leslie O'Bray, Karsten M. Borgwardt
2021 J jnl
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions.
CoRR
Leslie O'Bray, Max Horn, Bastian Rieck, Karsten M. Borgwardt
2021 A* conf
Filtration Curves for Graph Representation.
KDD
Leslie O'Bray, Bastian Rieck, Karsten M. Borgwardt
2021 J jnl
The magnitude vector of images.
CoRR
Michael F. Adamer, Leslie O'Bray, Edward De Brouwer, Bastian Rieck, Karsten M. Borgwardt
2021 J jnl
Towards a Taxonomy of Graph Learning Datasets.
CoRR
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek
2020 J jnl
Graph Kernels: State-of-the-Art and Future Challenges.
CoRR
Karsten M. Borgwardt, M. Elisabetta Ghisu, Felipe Llinares-López, Leslie O'Bray, Bastian Rieck
2020 J jnl
Graph Kernels: State-of-the-Art and Future Challenges.
Found. Trends Mach. Learn.
Karsten M. Borgwardt, M. Elisabetta Ghisu, Felipe Llinares-López, Leslie O'Bray, Bastian Rieck