Taxonomy of benchmarks in graph representation learning R Liu, S Cantürk, F Wenkel, S McGuire, X Wang, A Little, L O’Bray, ... Learning on Graphs Conference, 6: 1-6: 25, 2022 | 10 | 2022 |
Machine-learning driven drug repurposing for COVID-19 S Cantürk, A Singh, P St-Amant, J Behrmann arXiv preprint arXiv:2006.14707, 2020 | 9 | 2020 |
Graph Positional and Structural Encoder R Liu, S Cantürk, O Lapointe-Gagné, V Létourneau, G Wolf, D Beaini, ... arXiv preprint arXiv:2307.07107, 2023 | 3 | 2023 |
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 | 2 | 2021 |
Taxonomy of datasets in graph learning: a data-driven approach to improve GNN benchmarking S Cantürk | | 2023 |