Neural network-based question answering over knowledge graphs on word and character level D Lukovnikov, A Fischer, J Lehmann, S Auer Proceedings of the 26th international conference on World Wide Web, 1211-1220, 2017 | 359 | 2017 |
On the regularization of Wasserstein GANs H Petzka, A Fischer, D Lukovnicov arXiv preprint arXiv:1709.08894, 2017 | 300 | 2017 |
Incorporating Literals into Knowledge Graph Embeddings A Kristiadi, MA Khan, D Lukovnikov, J Lehmann, A Fischer arXiv preprint arXiv:1802.00934, 2018 | 128 | 2018 |
Learning to rank query graphs for complex question answering over knowledge graphs G Maheshwari, P Trivedi, D Lukovnikov, N Chakraborty, A Fischer, ... International Semantic Web Conference, 487-504, 2019 | 116 | 2019 |
Pretrained transformers for simple question answering over knowledge graphs D Lukovnikov, A Fischer, J Lehmann International Semantic Web Conference, 470-486, 2019 | 89 | 2019 |
Introduction to neural network based approaches for question answering over knowledge graphs N Chakraborty, D Lukovnikov, G Maheshwari, P Trivedi, J Lehmann, ... arXiv preprint arXiv:1907.09361, 2019 | 79 | 2019 |
Introduction to neural network‐based question answering over knowledge graphs N Chakraborty, D Lukovnikov, G Maheshwari, P Trivedi, J Lehmann, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 11 (3 …, 2021 | 46 | 2021 |
Question answering on linked data: Challenges and future directions S Shekarpour, KM Endris, A Jaya Kumar, D Lukovnikov, K Singh, ... Proceedings of the 25th International Conference Companion on World Wide Web …, 2016 | 31 | 2016 |
Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies. D Lukovnikov, A Fischer International Conference on Machine Learning, 7180-7191, 2021 | 23 | 2021 |
Improving the Long-Range Performance of Gated Graph Neural Networks D Lukovnikov, J Lehmann, A Fischer arXiv preprint arXiv:2007.09668, 2020 | 11 | 2020 |
Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing D Lukovnikov, S Daubener, A Fischer Findings of the Association for Computational Linguistics: EMNLP 2021, 591-598, 2021 | 10 | 2021 |
Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters D Lukovnikov, N Chakraborty, J Lehmann, A Fischer arXiv preprint arXiv:1811.05303, 2018 | 6 | 2018 |
Insertion-based Tree Decoding D Lukovnikov, A Fischer Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 2 | 2021 |