An appraisal of graph embeddings for comparing trophic network architectures-Reference-Cited by-同舟云学术

An appraisal of graph embeddings for comparing trophic network architectures

Published:2021-11 Issue:1 Volume:13 Page:203-216
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Botella Christophe¹^ORCID,Dray Stéphane²³^ORCID,Matias Catherine⁴^ORCID,Miele Vincent²³^ORCID,Thuiller Wilfried¹^ORCID

Affiliation:

1. Laboratoire d'Ecologie Alpine Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS LECA Grenoble France

2. Université de Lyon Lyon France

3. Laboratoire de Biométrie et Biologie Évolutive Université Lyon 1 CNRS UMR5558 Villeurbanne France

4. Laboratoire de Probabilités, Statistique et Modélisation Centre National de la Recherche Scientifique Sorbonne Université Université de Paris Paris France

Funder

Agence Nationale de la Recherche

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13738

Reference47 articles.

1. From projected species distribution to food-web structure under climate change

2. A General Model for Food Web Structure

3. Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity

4. Unsupervised graph representation by periphery and hierarchical information maximization;Bandyopadhyay S.;arXiv Preprint,2020

5. Dimensionality reduction for visualizing single-cell data using UMAP

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