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Edge-based sequential graph generation with recurrent neural networks., , and . Neurocomputing, (2020)Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization., , and . CoRR, (2020)The Infinite Contextual Graph Markov Model., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 2721-2737. PMLR, (2022)Graph Mixture Density Networks., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 3025-3035. PMLR, (2021)On the need of machine learning as a service for the internet of things., , , and . IML, page 22:1-22:8. ACM, (2017)Generalising Recursive Neural Models by Tensor Decomposition., and . IJCNN, page 1-8. IEEE, (2020)Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics., , , and . KES (2), volume 5178 of Lecture Notes in Computer Science, page 181-188. Springer, (2008)Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 304-313. PMLR, (2018)A tensor framework for learning in structured domains., and . Neurocomputing, (2022)FADER: Fast adversarial example rejection., , , , and . Neurocomputing, (2022)