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Garima Gaur
Garima Gaur
Postdoctoral Researcher, CEDAR Team, Inria Saclay
Bestätigte E-Mail-Adresse bei inria.fr
Titel
Zitiert von
Zitiert von
Jahr
How and why is an answer (still) correct? Maintaining provenance in dynamic knowledge graphs
G Gaur, A Bhattacharya, S Bedathur
Proceedings of the 29th ACM International Conference on Information …, 2020
82020
Bert meets relational db: Contextual representations of relational databases
S Arora, V Gupta, G Gaur, S Bedathur
arXiv preprint arXiv:2104.14914, 2021
62021
Computing and maintaining provenance of query result probabilities in uncertain knowledge graphs
G Gaur, A Dang, A Bhattacharya, S Bedathur
Proceedings of the 30th ACM International Conference on Information …, 2021
32021
Tracking entities in technical procedures--a new dataset and baselines
S Goyal, P Pandey, G Gaur, S Bedathur, M Ramanath
arXiv preprint arXiv:2104.07378, 2021
32021
Tracking the Impact of Fact Deletions on Knowledge Graph Queries Using Provenance Polynomials
G Gaur, SJ Bedathur, A Bhattacharya
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
32017
NeuSTIP: A Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs
I Singh, N Kaur, G Gaur
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
12023
NeuSTIP: A Novel Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs
I Singh, N Kaur, G Gaur
arXiv preprint arXiv:2305.11301, 2023
12023
Patterns for Indexing Large Datasets
G Gaur, S Kalra, A Bhattacharya
Proceedings of the 23rd European Conference on Pattern Languages of Programs …, 2018
12018
Teaching Old DB Neu (ral) Tricks: Learning Embeddings on Multi-tabular Databases
G Gaur, R Singh, S Arora, V Gupta, S Bedathur
Proceedings of the 6th Joint International Conference on Data Science …, 2023
2023
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