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Yunpu Ma
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Year
Explainable subgraph reasoning for forecasting on temporal knowledge graphs
Z Han, P Chen, Y Ma, V Tresp
International Conference on Learning Representations, 2020
160*2020
Timetraveler: Reinforcement learning for temporal knowledge graph forecasting
H Sun, J Zhong, Y Ma, Z Han, K He
arXiv preprint arXiv:2109.04101, 2021
1102021
Learning neural ordinary equations for forecasting future links on temporal knowledge graphs
Z Han, Z Ding, Y Ma, Y Gu, V Tresp
Proceedings of the 2021 conference on empirical methods in natural language …, 2021
106*2021
Embedding models for episodic knowledge graphs
Y Ma, V Tresp, EA Daxberger
Journal of Web Semantics 59, 100490, 2019
1062019
Graph hawkes neural network for forecasting on temporal knowledge graphs
Z Han, Y Ma, Y Wang, S Günnemann, V Tresp
arXiv preprint arXiv:2003.13432, 2020
102*2020
Tlogic: Temporal logical rules for explainable link forecasting on temporal knowledge graphs
Y Liu, Y Ma, M Hildebrandt, M Joblin, V Tresp
Proceedings of the AAAI conference on artificial intelligence 36 (4), 4120-4127, 2022
872022
Dyernie: Dynamic evolution of riemannian manifold embeddings for temporal knowledge graph completion
Z Han, Y Ma, P Chen, V Tresp
arXiv preprint arXiv:2011.03984, 2020
792020
Improving visual relationship detection using semantic modeling of scene descriptions
S Baier, Y Ma, V Tresp
The Semantic Web–ISWC 2017: 16th International Semantic Web Conference …, 2017
762017
Contrastive learning for recommender system
Z Liu, Y Ma, Y Ouyang, Z Xiong
arXiv preprint arXiv:2101.01317, 2021
702021
Reasoning on knowledge graphs with debate dynamics
M Hildebrandt, JAQ Serna, Y Ma, M Ringsquandl, M Joblin, V Tresp
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4123-4131, 2020
492020
Km-bart: Knowledge enhanced multimodal bart for visual commonsense generation
Y Xing, Z Shi, Z Meng, G Lakemeyer, Y Ma, R Wattenhofer
arXiv preprint arXiv:2101.00419, 2021
432021
Causal inference under networked interference and intervention policy enhancement
Y Ma, V Tresp
International Conference on Artificial Intelligence and Statistics, 3700-3708, 2021
40*2021
3d-retr: End-to-end single and multi-view 3d reconstruction with transformers
Z Shi, Z Meng, Y Xing, Y Ma, R Wattenhofer
arXiv preprint arXiv:2110.08861, 2021
292021
Multi-modal contrastive pre-training for recommendation
Z Liu, Y Ma, M Schubert, Y Ouyang, Z Xiong
Proceedings of the 2022 International Conference on Multimedia Retrieval, 99-108, 2022
222022
Embedding learning for declarative memories
V Tresp, Y Ma, S Baier, Y Yang
The Semantic Web: 14th International Conference, ESWC 2017, Portorož …, 2017
222017
Holistic Representations for Memorization and Inference.
Y Ma, M Hildebrandt, V Tresp, S Baier
UAI, 403-413, 2018
212018
Time-dependent entity embedding is not all you need: A re-evaluation of temporal knowledge graph completion models under a unified framework
Z Han, G Zhang, Y Ma, V Tresp
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
182021
Variational quantum circuit model for knowledge graph embedding
Y Ma, V Tresp, L Zhao, Y Wang
Advanced Quantum Technologies 2 (7-8), 1800078, 2019
172019
A simple but powerful graph encoder for temporal knowledge graph completion
Z Ding, Y Ma, B He, J Wu, Z Han, V Tresp
Intelligent Systems Conference, 729-747, 2023
152023
Few-shot inductive learning on temporal knowledge graphs using concept-aware information
Z Ding, J Wu, B He, Y Ma, Z Han, V Tresp
arXiv preprint arXiv:2211.08169, 2022
152022
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