| Learning attention-based embeddings for relation prediction in knowledge graphs D Nathani, J Chauhan, C Sharma, M Kaul arXiv preprint arXiv:1906.01195, 2019 | 704 | 2019 |
| Stochastic skyline route planning under time-varying uncertainty B Yang, C Guo, CS Jensen, M Kaul, S Shang 2014 IEEE 30th International Conference on Data Engineering, 136-147, 2014 | 143 | 2014 |
| Building accurate 3d spatial networks to enable next generation intelligent transportation systems M Kaul, B Yang, CS Jensen 2013 IEEE 14th international conference on mobile data management 1, 137-146, 2013 | 118 | 2013 |
| Self-supervised few-shot learning on point clouds C Sharma, M Kaul Advances in Neural Information Processing Systems 33, 7212-7221, 2020 | 105 | 2020 |
| R-Apriori: an efficient apriori based algorithm on spark S Rathee, M Kaul, A Kashyap Proceedings of the 8th workshop on Ph. D. Workshop in information and …, 2015 | 105 | 2015 |
| Using incomplete information for complete weight annotation of road networks B Yang, M Kaul, CS Jensen IEEE Transactions on Knowledge and Data Engineering 26 (5), 1267-1279, 2013 | 96 | 2013 |
| RECON: relation extraction using knowledge graph context in a graph neural network A Bastos, A Nadgeri, K Singh, IO Mulang, S Shekarpour, J Hoffart, M Kaul Proceedings of the Web Conference 2021, 1673-1685, 2021 | 90 | 2021 |
| Ecomark: evaluating models of vehicular environmental impact C Guo, Y Ma, B Yang, CS Jensen, M Kaul Proceedings of the 20th International Conference on Advances in Geographic …, 2012 | 88 | 2012 |
| Few-shot learning on graphs via super-classes based on graph spectral measures J Chauhan, D Nathani, M Kaul arXiv preprint arXiv:2002.12815, 2020 | 78 | 2020 |
| Efficient fault-tolerance for iterative graph processing on distributed dataflow systems C Xu, M Holzemer, M Kaul, V Markl 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 613-624, 2016 | 28 | 2016 |
| Multi-cost optimal route planning under time-varying uncertainty B Yang, C Guo, CS Jensen, M Kaul, S Shang Proceedings of the 30th International Conference on Data Engineering (ICDE …, 2014 | 24 | 2014 |
| On fault tolerance for distributed iterative dataflow processing C Xu, M Holzemer, M Kaul, J Soto, V Markl IEEE Transactions on Knowledge and Data Engineering 29 (8), 1709-1722, 2017 | 20 | 2017 |
| Frequent route based continuous moving object location-and density prediction on road networks G Gidófalvi, C Borgelt, M Kaul, TB Pedersen Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances …, 2011 | 20 | 2011 |
| Finding shortest paths on terrains by killing two birds with one stone M Kaul, RCW Wong, B Yang, CS Jensen Proceedings of the VLDB Endowment 7 (1), 73-84, 2013 | 19 | 2013 |
| Improving Data Quality by Leveraging Statistical Relational Learning. L Visengeriyeva, A Akbik, M Kaul, T Rabl, V Markl ICIQ, 220-236, 2016 | 9 | 2016 |
| A persistent homology perspective to the link prediction problem S Bhatia, B Chatterjee, D Nathani, M Kaul International Conference on Complex Networks and Their Applications, 27-39, 2019 | 8 | 2019 |
| Understanding and predicting links in graphs: A persistent homology perspective S Bhatia, B Chatterjee, D Nathani, M Kaul arXiv preprint arXiv:1811.04049, 2018 | 8 | 2018 |
| New lower and upper bounds for shortest distance queries on terrains M Kaul, RCW Wong, CS Jensen Proceedings of the VLDB Endowment 9 (3), 168-179, 2015 | 8 | 2015 |
| Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation S Katageri, A De, C Devaguptapu, V Prasad, C Sharma, M Kaul Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 5 | 2024 |
| Intelligent packet shaper to avoid network congestion for improved streaming video quality at clients M Kaul, R Khosla, Y Mitsukura Proceedings 2003 IEEE International Symposium on Computational Intelligence …, 2003 | 5 | 2003 |
Christian S. JensenAalborg University, Department of Computer ScienceVerified email at cs.aau.dk
