Leslie O'Bray

According to our database, Leslie O'Bray authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The magnitude vector of images.

Michael F. Adamer, Edward De Brouwer, Leslie O'Bray, Bastian Rieck

J. Appl. Comput. Topol., September, 2024

2023

Leveraging global information for machine learning on graphs.

Leslie O'Bray

PhD thesis, 2023

2022

Taxonomy of Benchmarks in Graph Representation Learning.

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

CoRR, 2022

Taxonomy of Benchmarks in Graph Representation Learning.

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

Proceedings of the Learning on Graphs Conference, 2022

Structure-Aware Transformer for Graph Representation Learning.

Dexiong Chen, Leslie O'Bray, Karsten M. Borgwardt

Proceedings of the International Conference on Machine Learning, 2022

Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions.

Leslie O'Bray, Max Horn, Bastian Rieck, Karsten M. Borgwardt

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

The magnitude vector of images.

Michael F. Adamer, Leslie O'Bray, Edward De Brouwer, Bastian Rieck, Karsten M. Borgwardt

CoRR, 2021

Towards a Taxonomy of Graph Learning Datasets.

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

CoRR, 2021

Biological network analysis with deep learning.

Giulia Muzio, Leslie O'Bray, Karsten M. Borgwardt

Briefings Bioinform., 2021

Filtration Curves for Graph Representation.

Leslie O'Bray, Bastian Rieck, Karsten M. Borgwardt

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

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

Karsten M. Borgwardt, M. Elisabetta Ghisu, Felipe Llinares-López, Leslie O'Bray, Bastian Rieck

Found. Trends Mach. Learn., 2020