| Global knowledge gaps in species interaction networks data T Poisot, G Bergeron, K Cazelles, T Dallas, D Gravel, A MacDonald, ... Journal of Biogeography 48 (7), 1552-1563, 2021 | 52* | 2021 |
| A roadmap towards predicting species interaction networks (across space and time) T Strydom, MD Catchen, F Banville, D Caron, G Dansereau, ... Philosophical Transactions of the Royal Society B 376 (1837), 20210063, 2021 | 46 | 2021 |
| Food web reconstruction through phylogenetic transfer of low‐rank network representation T Strydom, S Bouskila, F Banville, C Barros, D Caron, MJ Farrell, ... Methods in Ecology and Evolution 13 (12), 2838-2849, 2022 | 19 | 2022 |
| Graph embedding and transfer learning can help predict potential species interaction networks despite data limitations T Strydom, S Bouskila, F Banville, C Barros, D Caron, MJ Farrell, ... EcoEvoRxiv, 2022 | 2 | 2022 |
| Predicting metawebs: transfer of graph embeddings can help alleviate spatial data deficiencies T Strydom, S Bouskila, F Banville, C Barros, D Caron, MJ Farrell, ... | 1 | 2022 |
| A primer on predicting species interaction networks (across space and time) T Strydom, MD Catchen, F Banville, D Caron, G Dansereau, ... EcoEvoRxiv, 2021 | 1 | 2021 |
| Graph embedding and transfer learning can help pre-dict species interaction networks despite data limita-tions T Strydom, S Bouskila, F Banville, C Barros, D Caron, MJ Farrell, ... OSF, 0 | | |
