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A fair comparison of graph neural networks for graph classification

, , , and . arXiv preprint arXiv:1912.09893, (2019)

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Prediction of Dynamical Properties of Biochemical Pathways with Graph Neural Networks., , , and . BIOINFORMATICS, page 32-43. SCITEPRESS, (2020)Graph Representation Learning., , , , , , and . ESANN, (2023)Edge-based sequential graph generation with recurrent neural networks., , and . Neurocomputing, (2020)Graphgen-redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation., and . IJCNN, page 1-8. IEEE, (2021)Classifier-Free Graph Diffusion for Molecular Property Targeting., , and . ECML/PKDD (4), volume 14944 of Lecture Notes in Computer Science, page 318-335. Springer, (2024)Exploiting the structure of biochemical pathways to investigate dynamical properties with neural networks for graphs., , , and . Bioinform., (October 2023)Deep Learning on Graphs with Applications to the Life Sciences.. University of Pisa, Italy, (2021)Graph generation by sequential edge prediction., , and . ESANN, (2019)Biochemical Pathway Robustness Prediction with Graph Neural Networks., , , and . ESANN, page 121-126. (2020)Classification of Biochemical Pathway Robustness with Neural Networks for Graphs., , , and . BIOSTEC (Selected Papers), volume 1400 of Communications in Computer and Information Science, page 215-239. Springer, (2020)