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Lukovnikov Denis
Lukovnikov Denis
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Title
Cited by
Cited by
Year
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
3592017
On the regularization of Wasserstein GANs
H Petzka, A Fischer, D Lukovnicov
arXiv preprint arXiv:1709.08894, 2017
3002017
Incorporating Literals into Knowledge Graph Embeddings
A Kristiadi, MA Khan, D Lukovnikov, J Lehmann, A Fischer
arXiv preprint arXiv:1802.00934, 2018
1282018
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
1152019
Pretrained transformers for simple question answering over knowledge graphs
D Lukovnikov, A Fischer, J Lehmann
International Semantic Web Conference, 470-486, 2019
892019
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
792019
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
442021
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
312016
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
232021
Improving the Long-Range Performance of Gated Graph Neural Networks
D Lukovnikov, J Lehmann, A Fischer
arXiv preprint arXiv:2007.09668, 2020
112020
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
102021
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
62018
Insertion-based Tree Decoding
D Lukovnikov, A Fischer
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021
22021
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