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Learning through structure: towards deep neuromorphic knowledge graph embeddings.

V. Chian, M. Hildebrandt, T. Runkler, and D. Dold. CoRR, (2021)

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Reasoning on graph-structured data with deep-learning, path-based methods, and tensor factorization.M. Hildebrandt. Ludwig Maximilian University of Munich, Germany, (2021)Debiased Contrastive Loss for Collaborative Filtering.Z. Liu, Y. Ma, H. Li, M. Hildebrandt, Y. Ouyang, and Z. Xiong. KSEM (3), volume 14119 of Lecture Notes in Computer Science, page 94-105. Springer, (2023)A Knowledge Graph Perspective on Supply Chain Resilience.Y. Liu, B. He, M. Hildebrandt, M. Buchner, D. Inzko, R. Wernert, E. Weigel, D. Beyer, M. Berbalk, and V. Tresp. D2R2, volume 3401 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Remaining Useful Life Estimation for Unknown Motors Using a Hybrid Modeling Approach.M. Hildebrandt, M. Khalil, C. Bergs, V. Tresp, R. Wüchner, K. Bletzinger, and M. Heizmann. INDIN, page 1327-1332. IEEE, (2019)Neural Multi-hop Reasoning with Logical Rules on Biomedical Knowledge Graphs.Y. Liu, M. Hildebrandt, M. Joblin, M. Ringsquandl, R. Raissouni, and V. Tresp. ESWC, volume 12731 of Lecture Notes in Computer Science, page 375-391. Springer, (2021)A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context.M. Hildebrandt, S. Sunder, S. Mogoreanu, M. Joblin, A. Mehta, I. Thon, and V. Tresp. ESWC, volume 11503 of Lecture Notes in Computer Science, page 179-193. Springer, (2019)Holistic Representations for Memorization and Inference.Y. Ma, M. Hildebrandt, V. Tresp, and S. Baier. UAI, page 403-413. AUAI Press, (2018)Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids.M. Ringsquandl, H. Sellami, M. Hildebrandt, D. Beyer, S. Henselmeyer, S. Weber, and M. Joblin. CIKM, page 1538-1547. ACM, (2021)TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs.Y. Liu, Y. Ma, M. Hildebrandt, M. Joblin, and V. Tresp. AAAI, page 4120-4127. AAAI Press, (2022)CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations.Z. Liu, Y. Ma, M. Hildebrandt, Y. Ouyang, and Z. Xiong. Knowl. Inf. Syst., 64 (8): 2239-2265 (2022)

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Disambiguation of "Hildebrandt, Marcel"

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Learning through structure: towards deep neuromorphic knowledge graph embeddings.

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Nico Hildebrandt

Marcel Fiege

Marcel Shirvanian

Marcel Oberländer

Marcel Wolf

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Disambiguation of "Hildebrandt, Marcel"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning through structure: towards deep neuromorphic knowledge graph embeddings.

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Nico Hildebrandt

Marcel Fiege

Marcel Shirvanian

Marcel Oberländer

Marcel Wolf

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Learning through structure: towards deep neuromorphic knowledge graph embeddings.