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PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs.

, , and . J. Open Source Softw., 8 (90): 5713 (October 2023)

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PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs., , and . J. Open Source Softw., 8 (90): 5713 (October 2023)Deep Graph Networks for Drug Repurposing With Multi-Protein Targets., , , , , and . IEEE Trans. Emerg. Top. Comput., 12 (1): 177-189 (January 2024)Bayesian Deep Learning for Graphs.. University of Pisa, Italy, (2022)Complex Data: Learning Trustworthily, Automatically, and with Guarantees., , , , , , , and . ESANN, (2021)Probabilistic Learning on Graphs via Contextual Architectures., , and . J. Mach. Learn. Res., (2020)Towards learning trustworthily, automatically, and with guarantees on graphs: An overview., , , , , , , , , and 1 other author(s). Neurocomputing, (2022)Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark., , , and . Frontiers Artif. Intell., (2022)Self-Tuning Hamiltonian Monte Carlo for Accelerated Sampling., , and . CoRR, (2023)FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering., , , , and . SemEval@ACL, page 299-304. Association for Computational Linguistics, (2017)Robust Malware Classification via Deep Graph Networks on Call Graph Topologies., , , , and . ESANN, (2021)