42 citations · 43 across the 3 of their papers we have counts for
6 papers
Improving the Long-Range Performance of Gated Graph Neural Networks
Denis Lukovnikov, Jens Lehmann, Asja Fischer
Many popular variants of graph neural networks (GNNs) that are capable of handling multi-relational graphs may suffer from vanishing gradients. In this work, we propose a novel GNN…
Pretrained Transformers for Simple Question Answering over Knowledge Graphs
D. Lukovnikov, A. Fischer, J. Lehmann
Answering simple questions over knowledge graphs is a well-studied problem in question answering. Previous approaches for this task built on recurrent and convolutional neural netw…
Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs
Nilesh Chakraborty, Denis Lukovnikov, Gaurav Maheshwari +3
Question answering has emerged as an intuitive way of querying structured data sources, and has attracted significant advancements over the years. In this article, we provide an ov…
Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters
Denis Lukovnikov, Nilesh Chakraborty, Jens Lehmann +1
Translating natural language to SQL queries for table-based question answering is a challenging problem and has received significant attention from the research community. In this…
Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs
Gaurav Maheshwari, Priyansh Trivedi, Denis Lukovnikov +3
In this paper, we conduct an empirical investigation of neural query graph ranking approaches for the task of complex question answering over knowledge graphs. We experiment with s…
Question Answering on Linked Data: Challenges and Future Directions
Saeedeh Shekarpour, Denis Lukovnikov, Ashwini Jaya Kumar +4
Question Answering (QA) systems are becoming the inspiring model for the future of search engines. While recently, underlying datasets for QA systems have been promoted from unstru…