Graph embedding and transfer learning can help predict potential species interaction networks despite data limitations

Graph embedding and transfer learning can help predict potential species interaction networks despite data limitations

Abstract Metawebs (networks of potential interactions within a species pool) are a powerful abstraction to understand how large‐scale species interaction networks are structured. Because metawebs are typically expressed at large spatial and taxonomic scales, assembling them is a tedious and costly p...

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Bibliographic Details
Main Authors: Tanya Strydom, Salomé Bouskila, Francis Banville, Ceres Barros, Dominique Caron, Maxwell J. Farrell, Marie‐Josée Fortin, Benjamin Mercier, Laura J. Pollock, Rogini Runghen, Giulio V. Dalla Riva, Timothée Poisot
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:Methods in Ecology and Evolution
Subjects:
ecological networks
network embedding
network macroecology
transfer learning
Online Access:https://doi.org/10.1111/2041-210X.14228

Internet

https://doi.org/10.1111/2041-210X.14228

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