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Meta-Path Learning for Multi-Relational Graph Neural Networks.

, , , and . LoG, volume 231 of Proceedings of Machine Learning Research, page 2. PMLR, (2023)

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Learning Aggregation Functions., , , , and . IJCAI, page 2892-2898. ijcai.org, (2021)Meta-Path Learning for Multi-Relational Graph Neural Networks., , , and . LoG, volume 231 of Proceedings of Machine Learning Research, page 2. PMLR, (2023)Comparative Evaluation of PL languages., , and . MLG, (2007)Learning and Interpreting Multi-Multi-Instance Learning Networks., , and . J. Mach. Learn. Res., (2020)Learning Aggregation Functions., , , , and . CoRR, (2020)Preface., and . PGM, volume 138 of Proceedings of Machine Learning Research, page 1-4. PMLR, (2020)Learning and Reasoning with Graph Data: Neural and Statistical-Relational Approaches (Invited Paper).. AIB, volume 99 of OASIcs, page 5:1-5:42. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)The AI&M Procedure for Learning from Incomplete Data.. UAI, AUAI Press, (2006)A Simple Latent Variable Model for Graph Learning and Inference., , , , and . LoG, volume 231 of Proceedings of Machine Learning Research, page 26. PMLR, (2023)From Statistical Model Checking to Run-Time Monitoring Using a Bayesian Network Approach., , and . RV, volume 12399 of Lecture Notes in Computer Science, page 517-535. Springer, (2020)