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Manohar Kaul
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Learning attention-based embeddings for relation prediction in knowledge graphs
D Nathani, J Chauhan, C Sharma, M Kaul
arXiv preprint arXiv:1906.01195, 2019
3202019
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
1222014
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
862013
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
832013
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
802015
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
762012
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
352020
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
212021
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
202014
Self-supervised few-shot learning on point clouds
C Sharma, M Kaul
Advances in Neural Information Processing Systems 33, 7212-7221, 2020
192020
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
192011
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
192011
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
182016
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
172017
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
102013
Improving Data Quality by Leveraging Statistical Relational Learning.
L Visengeriyeva, A Akbik, M Kaul, T Rabl, V Markl
ICIQ, 220-236, 2016
92016
Understanding and predicting links in graphs: A persistent homology perspective
S Bhatia, B Chatterjee, D Nathani, M Kaul
arXiv preprint arXiv:1811.04049, 2018
72018
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
52019
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
52003
Learning representations using spectral-biased random walks on graphs
C Sharma, J Chauhan, M Kaul
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
42020
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Artiklar 1–20