Publications

Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, und Carl Yang. Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. The 40th IEEE International Conference on Data Engineering, 2024. [PUMA: myown simtech ki ac-knowgraphs] URL

Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, und Volker Tresp. zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2024. [PUMA: myown simtech ki ac-knowgraphs] URL

Bo Xiong, Mojtaba Nayyeri, Linhao Luo, Zihao Wang, Shirui Pan, und Steffen Staab. NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning. The 38th Annual AAAI Conference on Artificial Intelligence, 2024. [PUMA: myown simtech ki ac-knowgraphs] URL

Bo Xiong, Mojtaba Nayyeri, Shirui Pan, und Steffen Staab. Shrinking Embeddings for Hyper-Relational Knowledge Graphs. The 61st Annual Meeting of the Association for Computational Linguistics, 2023. [PUMA: myown simtech ki ac-knowgraphs] URL

Alexandra Baier, Decky Aspandi, und Steffen Staab. ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23, International Joint Conferences on Artificial Intelligence Organization, August 2023. [PUMA: myown simtech pn4 EXC2075 exc2075] URL

Alexandra Baier, Decky Aspandi, und Steffen Staab. Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"". DaRUS, 2023. [PUMA: myown simtech from:alexbaier deeplearning pn4 EXC2075 exc2075] URL

Alexandra Baier, Decky Aspandi, und Steffen Staab. Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"". DaRUS, 2023. [PUMA: myown simtech deeplearning pn4 EXC2075 exc2075] URL

Alexandra Baier, und Daniel Frank. deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning. DaRUS, 2023. [PUMA: myown simtech from:alexbaier deeplearning pn4 EXC2075 exc2075] URL

Alexandra Baier, und Daniel Frank. deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning. DaRUS, 2023. [PUMA: myown simtech deeplearning pn4 EXC2075 exc2075] URL

Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, und Carl Yang. HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval 2023, 2023. [PUMA: from:boxiong myown simtech ac-knowgraphs] URL

Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, und Carl Yang. HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval 2023, 2023. [PUMA: myown simtech ac-knowgraphs] URL

Daniel Frank, Decky Aspandi Latif, Michael Muehlebach, Benjamin Unger, und Steffen Staab. Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees - Technical Report. 2022. [PUMA: myown pn4-7 simtech ki exc2075]

Alexandra Baier, und Steffen Staab. A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances. 2022. [PUMA: myown simtech from:alexbaier deeplearning pn4 machinelearning EXC2075 exc2075]

Alexandra Baier, und Steffen Staab. A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances. 2022. [PUMA: myown simtech deeplearning pn4 machinelearning EXC2075 exc2075]

Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, und Steffen Staab. Pseudo-Riemannian Graph Convolutional Networks. Advances in Neural Information Processing Systems, 2022. [PUMA: ac-coffee from:boxiong myown simtech ac-knowgraphs] URL

Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, und Steffen Staab. Pseudo-Riemannian Graph Convolutional Networks. Advances in Neural Information Processing Systems, 2022. [PUMA: myown simtech ki ac-knowgraphs] URL

Alexandra Baier, Zeyd Boukhers, und Steffen Staab. Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction. 2021. [PUMA: myown simtech deeplearning pn4 machinelearning prePrint EXC2075] URL