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Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs

Z. Ding, J. Wu, J. Wu, Y. Xia, B. Xiong, and V. Tresp. Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, page 355--373. Association for Computational Linguistics, (2024)

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Univ. -Prof. Dr. -Ing. Volker Schwieger University of Stuttgart

Point Clouds of the livMatS Biomimetic Shell at Various Stages of the Construction ProcessL. Balange, G. Kerekes, R. Frolow, Y. Yang, S. Abolhasani, and V. Schwieger. Dataset, (2025)

Volker Kübler University of Stuttgart

Dr. -Ing. Volker Rischmüller University of Stuttgart

Richard Völker University of Stuttgart

Prof. iR Dr. Volker Claus University of Stuttgart

Other publications of authors with the same name

Averaging Regularized Estimators.M. Taniguchi, and V. Tresp. Neural Computation, 9 (5): 1163-1178 (1997)Mean field inference in a general probabilistic setting.M. Haft, R. Hofmann, and V. Tresp. AISTATS, Society for Artificial Intelligence and Statistics, (1999)Reducing the Rank in Relational Factorization Models by Including Observable Patterns.M. Nickel, X. Jiang, and V. Tresp. NIPS, page 1179-1187. (2014)Some Solutions to the Missing Feature Problem in Vision.S. Ahmad, and V. Tresp. NIPS, page 393-400. Morgan Kaufmann, (1992)A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction.V. Tresp, and T. Briegel. NIPS, page 971-977. The MIT Press, (1997)Transductive and Inductive Methods for Approximate Gaussian Process Regression.A. Schwaighofer, and V. Tresp. NIPS, page 953-960. MIT Press, (2002)Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems.M. Hildebrandt, S. Sunder, S. Mogoreanu, I. Thon, V. Tresp, and T. Runkler. ECML/PKDD (3), volume 11053 of Lecture Notes in Computer Science, page 271-287. Springer, (2018)Knowledge Acquisition and Automated Generation of Bayesian Networks for a Medical Dialogue and Advisory System.J. Horn, T. Birkhölzer, O. Hogl, M. Pellegrino, R. Scheiterer, K. Schmidt, and V. Tresp. AIME, volume 2101 of Lecture Notes in Computer Science, page 199-202. Springer, (2001)Embedding Learning for Declarative Memories.V. Tresp, Y. Ma, S. Baier, and Y. Yang. ESWC (1), volume 10249 of Lecture Notes in Computer Science, page 202-216. (2017)Combining Information Extraction, Deductive Reasoning and Machine Learning for Relation Prediction.X. Jiang, Y. Huang, M. Nickel, and V. Tresp. ESWC, volume 7295 of Lecture Notes in Computer Science, page 164-178. Springer, (2012)