| Explainable subgraph reasoning for forecasting on temporal knowledge graphs Z Han, P Chen, Y Ma, V Tresp International Conference on Learning Representations, 2020 | 112* | 2020 |
| The graph hawkes network for reasoning on temporal knowledge graphs Z Han, J Jiang, Y Wang, Y Ma, V Tresp Proceeding of the 2nd Conference on Automated Knowledge Base Construction (2020), 2019 | 77* | 2019 |
| 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 | 69* | 2021 |
| TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting KH Haohai Sun, Jialun Zhong, Yunpu Ma, Zhen Han Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 67* | 2021 |
| DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion VT Zhen Han, Peng Chen, Yunpu Ma Proceeding of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 60* | 2020 |
| 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 | 16 | 2021 |
| Multi-hop open-domain question answering over structured and unstructured knowledge Y Feng, Z Han, M Sun, P Li Findings of the Association for Computational Linguistics: NAACL 2022, 151-156, 2022 | 12 | 2022 |
| TempCaps: a capsule network-based embedding model for temporal knowledge graph completion G Fu, Z Meng, Z Han, Z Ding, Y Ma, M Schubert, V Tresp, R Wattenhofer Proceedings of the Sixth Workshop on Structured Prediction for NLP (SPNLP …, 2022 | 11 | 2022 |
| Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information Z Ding, J Wu, B He, Y Ma, Z Han, V Tresp Proceeding of the 4th Conference on Automated Knowledge Base Construction (2022), 2022 | 10 | 2022 |
| Agtgan: Unpaired image translation for photographic ancient character generation H Huang, D Yang, G Dai, Z Han, Y Wang, KM Lam, F Yang, S Huang, ... Proceedings of the 30th ACM international conference on multimedia, 5456-5467, 2022 | 10 | 2022 |
| A systematic survey of prompt engineering on vision-language foundation models J Gu, Z Han, S Chen, A Beirami, B He, G Zhang, R Liao, Y Qin, V Tresp, ... arXiv preprint arXiv:2307.12980, 2023 | 8 | 2023 |
| ECOLA: Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations Z Han, R Liao, J Gu, Y Zhang, Z Ding, Y Gu, H Köppl, H Schütze, V Tresp Findings of the Association for Computational Linguistics: ACL 2023, 5433–5447, 2022 | 6* | 2022 |
| Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models S Chen, J Gu, Z Han, Y Ma, P Torr, V Tresp arXiv preprint arXiv:2306.02080, 2023 | 5 | 2023 |
| Continuous Temporal Graph Networks for Event-Based Graph Data J Guo, Z Han, Z Su, J Li, V Tresp, Y Wang Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural …, 2022 | 5 | 2022 |
| ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs Z Ding, Z Li, R Qi, J Wu, B He, Y Ma, Z Meng, S Chen, R Liao, Z Han, ... International Semantic Web Conference, 541-560, 2023 | 3 | 2023 |
| 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 | 3 | 2023 |
| GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models Y Shen, R Liao, Z Han, Y Ma, V Tresp arXiv preprint arXiv:2310.08487, 2023 | | 2023 |
| A Graph-Guided Reasoning Approach for Open-ended Commonsense Question Answering Z Han, Y Feng, M Sun arXiv preprint arXiv:2303.10395, 2023 | | 2023 |
| Modeling the evolution of temporal knowledge graphs with uncertainty S Nolting, Z Han, V Tresp arXiv preprint arXiv:2301.04977, 2023 | | 2023 |
| Relational learning on temporal knowledge graphs Z Han lmu, 2022 | | 2022 |
Volker TrespLudwig Maximilian University of Munich / München (LMU)Verified email at dbs.ifi.lmu.de
