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Entity Alignment For Knowledge Graphs: Progress, Challenges, and Empirical Studies


May 18, 2022
Deepak Chaurasiya, Anil Surisetty, Nitish Kumar, Alok Singh, Vikrant Dey, Aakarsh Malhotra, Gaurav Dhama, Ankur Arora

* 8 pages, 8 figures 

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Dynamic Temporal Reconciliation by Reinforcement learning


Jan 28, 2022
Himanshi Charotia, Abhishek Garg, Gaurav Dhama, Naman Maheshwari


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Optimal Latent Space Forecasting for Large Collections of Short Time Series Using Temporal Matrix Factorization


Dec 15, 2021
Himanshi Charotia, Abhishek Garg, Gaurav Dhama, Naman Maheshwari


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Application of Deep Reinforcement Learning to Payment Fraud


Dec 08, 2021
Siddharth Vimal, Kanishka Kayathwal, Hardik Wadhwa, Gaurav Dhama

* Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond at KDD 2021 

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KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers


Nov 30, 2021
Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama

* 9 pages, 2 figures, 4 Tables 

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A Comparative Study of Transformers on Word Sense Disambiguation


Nov 30, 2021
Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama, Dr. Anil Kumar Singh

* 8 pages, 1 figure, 3 tables 

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