| 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 | 14 | 2023 |
| 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 | 12 | 2022 |
| Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction Z Ding, B He, J Wu, Y Ma, Z Han, V Tresp 2023 International Joint Conference on Neural Networks (IJCNN), 1-10, 2023 | 8 | 2023 |
| Improving few-shot inductive learning on temporal knowledge graphs using confidence-augmented reinforcement learning Z Ding, J Wu, Z Li, Y Ma, V Tresp Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 5 | 2023 |
| Forecasting question answering over temporal knowledge graphs Z Ding, R Qi, Z Li, B He, J Wu, Y Ma, Z Meng, Z Han, V Tresp CoRR abs/2208.06501, 2022 | 3 | 2022 |
| Zero-shot relational learning on temporal knowledge graphs with large language models Z Ding, H Cai, J Wu, Y Ma, R Liao, B Xiong, V Tresp arXiv preprint arXiv:2311.10112, 2023 | 2 | 2023 |
| Exploring Link Prediction over Hyper-Relational Temporal Knowledge Graphs Enhanced with Time-Invariant Relational Knowledge Z Ding, J Wu, J Wu, Y Xia, V Tresp arXiv preprint arXiv:2307.10219, 2023 | | 2023 |
Zifeng DingLudwig Maximilian University of MunichVerified email at campus.lmu.de
