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Leslie O'Bray
Leslie O'Bray
PhD Student, Machine Learning and Computational Biology, ETH Zürich
Verified email at bsse.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Biological network analysis with deep learning
G Muzio, L O’Bray, K Borgwardt
Briefings in bioinformatics 22 (2), 1515-1530, 2021
502021
Graph Kernels: State-of-the-Art and Future Challenges
K Borgwardt, E Ghisu, F Llinares-López, L O’Bray, B Rieck
Foundations and Trends in Machine Learning 13 (5-6), 531-712, 2020
492020
Structure-Aware Transformer for Graph Representation Learning
D Chen, L O'Bray, K Borgwardt
International Conference on Machine Learning (ICML), 2022
52022
Filtration Curves for Graph Representation
L O'Bray, B Rieck, K Borgwardt
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
52021
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
L O'Bray, M Horn, B Rieck, K Borgwardt
International Conference on Learning Representations (ICLR), 2021
32021
Taxonomy of Benchmarks in Graph Representation Learning
R Liu, S Cantürk, F Wenkel, D Sandfelder, D Kreuzer, A Little, S McGuire, ...
arXiv preprint arXiv:2206.07729, 2022
2022
The magnitude vector of images
MF Adamer, L O'Bray, E De Brouwer, B Rieck, K Borgwardt
arXiv preprint arXiv:2110.15188, 2021
2021
Towards a Taxonomy of Graph Learning Datasets
R Liu, S Cantürk, F Wenkel, D Sandfelder, D Kreuzer, A Little, S McGuire, ...
arXiv preprint arXiv:2110.14809, 2021
2021
networkGWAS: A network-based approach for genome-wide association studies in structured populations
G Muzio, L O’Bray, L Meng-Papaxanthos, J Klatt, K Borgwardt
bioRxiv, 2021
2021
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