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Rep the Set: Neural Networks for Learning Set Representations., , , and . CoRR, (2019)Edge Degeneracy: Algorithmic and Structural Results., , , and . CoRR, (2020)A Degeneracy Framework for Graph Similarity., , , and . IJCAI, page 2595-2601. ijcai.org, (2018)L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders., , , , and . CoRR, (2024)Etude de Dégénérescence de Graph appliqué à l'Apprentissage Automatique Avancé et Résultats Théoriques relatifs. (Graph Degeneracy Studies for Advanced Learning Methods on Graphs and Theoretical Results).. Institut Polytechnique de Paris, France, (2020)L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders., , , , and . COMPLEX NETWORKS (1), volume 1141 of Studies in Computational Intelligence, page 400-412. Springer, (2023)Gravity-Inspired Graph Autoencoders for Directed Link Prediction., , , , and . CIKM, page 589-598. ACM, (2019)Rep the Set: Neural Networks for Learning Set Representations., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1410-1420. PMLR, (2020)Hcore-Init: Neural Network Initialization based on Graph Degeneracy., , , and . ICPR, page 5852-5858. IEEE, (2020)SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation., , , , , and . CoRR, (2023)