ArticleNature ecology & evolution2025
Inductive link prediction facilitates the discovery of missing links and enables cross-community inference in ecological networks.
Article in Nature ecology & evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Predicting missing links in food webs using stacked models and species traits.Nature communications · 2026Article
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3 authors.
Funding
Abstract
Predicting species interactions (links) within ecological networks is crucial for advancing our understanding of ecosystem functioning and responses of communities to environmental changes. Transductive link prediction models are often used but are constrained by sparse, incomplete data and are limited to single networks. We addressed these issues using an inductive link prediction (ILP) approach to predict interactions within and between ecological networks by pooling data across communities and applying transfer learning. We evaluated the performance of our ILP model on 538 networks across four community types: plant-seed disperser, plant-pollinator, host-parasite and plant-herbivore, and found that it achieved higher precision and F
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