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Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs., , , , , and . CoRR, (2020)Reasoning on graph-structured data with deep-learning, path-based methods, and tensor factorization.. Ludwig Maximilian University of Munich, Germany, (2021)Debiased Contrastive Loss for Collaborative Filtering., , , , , and . KSEM (3), volume 14119 of Lecture Notes in Computer Science, page 94-105. Springer, (2023)Neural Multi-hop Reasoning with Logical Rules on Biomedical Knowledge Graphs., , , , , and . ESWC, volume 12731 of Lecture Notes in Computer Science, page 375-391. Springer, (2021)A Knowledge Graph Perspective on Supply Chain Resilience., , , , , , , , , and . D2R2, volume 3401 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Remaining Useful Life Estimation for Unknown Motors Using a Hybrid Modeling Approach., , , , , , and . INDIN, page 1327-1332. IEEE, (2019)CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations., , , , and . Knowl. Inf. Syst., 64 (8): 2239-2265 (2022)Scene Graph Reasoning for Visual Question Answering., , , , and . CoRR, (2020)On Calibration of Graph Neural Networks for Node Classification., , , , , and . IJCNN, page 1-8. IEEE, (2022)A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context., , , , , , and . ESWC, volume 11503 of Lecture Notes in Computer Science, page 179-193. Springer, (2019)