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Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications.

, , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 35 (4): 4367-4372 (April 2024)

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ML-SIM: A deep neural network for reconstruction of structured illumination microscopy images., , , and . CoRR, (2020)Seeing the wood for the trees: a forest of methods for optimization and omic-network integration in metabolic modelling., , , and . Briefings Bioinform., 19 (6): 1218-1235 (2018)Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation, , and . arXiv preprint arXiv:1707.05147, (2017)Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis., , , , and . CoRR, (2022)Multimodal and multicontrast image fusion via deep generative models., , , , , and . Inf. Fusion, (2022)Multi-omic Network Regression: Methodology, Tool and Case Study., and . COMPLEX NETWORKS (2), volume 813 of Studies in Computational Intelligence, page 611-624. Springer, (2018)Joint Group-Wise Motion Estimation and Segmentation of Cardiac Cine MR Images Using Recurrent U-Net., , , , and . MIUA, volume 13413 of Lecture Notes in Computer Science, page 65-74. Springer, (2022)Lesion focused super-resolution., , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109491L. SPIE, (2019)SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks., , and . NeurIPS, (2022)Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks., , , , , , , , and . NeurIPS, (2022)