| Inductive representation learning on temporal graphs D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan arXiv preprint arXiv:2002.07962, 2020 | 721 | 2020 |
| Efficacy of catheter-based renal denervation in the absence of antihypertensive medications (SPYRAL HTN-OFF MED Pivotal): a multicentre, randomised, sham-controlled trial M Böhm, K Kario, DE Kandzari, F Mahfoud, MA Weber, RE Schmieder, ... The Lancet 395 (10234), 1444-1451, 2020 | 571 | 2020 |
| Self-attention with functional time representation learning D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan Advances in neural information processing systems 32, 2019 | 141 | 2019 |
| Product knowledge graph embedding for e-commerce D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan Proceedings of the 13th international conference on web search and data …, 2020 | 118 | 2020 |
| Knowledge-aware complementary product representation learning D Xu, C Ruan, J Cho, E Korpeoglu, S Kumar, K Achan Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 35* | 2020 |
| Adversarial counterfactual learning and evaluation for recommender system D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan Advances in Neural Information Processing Systems 33, 13515-13526, 2020 | 34 | 2020 |
| Rethinking neural vs. matrix-factorization collaborative filtering: the theoretical perspectives D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan International Conference on Machine Learning, 11514-11524, 2021 | 21 | 2021 |
| Theoretical understandings of product embedding for e-commerce machine learning D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan Proceedings of the 14th ACM international conference on web search and data …, 2021 | 21 | 2021 |
| A model to predict the influence of inconsistencies in thermal barrier coating (TBC) thicknesses in pistons of IC engines P Ramaswamy, V Shankar, VR Reghu, N Mathew, SM Kumar Materials Today: Proceedings 5 (5), 12623-12631, 2018 | 20 | 2018 |
| The role of E-commerce on customer engagement in 2021 R Sirvi, G Ramu, V Revelli, SG Kumar, C Pattnaik International Journal of Scientific Development and Research 6 (2), 319-324, 2021 | 18 | 2021 |
| Generative graph convolutional network for growing graphs D Xu, C Ruan, K Motwani, E Korpeoglu, S Kumar, K Achan ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 18 | 2019 |
| Knowledge graph completion models are few-shot learners: An empirical study of relation labeling in e-commerce with llms J Chen, L Ma, X Li, N Thakurdesai, J Xu, JHD Cho, K Nag, E Korpeoglu, ... arXiv preprint arXiv:2305.09858, 2023 | 17 | 2023 |
| System, method, and non-transitory computer-readable storage media for evaluating search results in a price comparison system VSP Rapaka, S Kumar, AK Nautiyal US Patent App. 14/985,981, 2017 | 17 | 2017 |
| Methods and apparatus for item substitution D Xu, R Chuanwei, K Motwani, E Korpeoglu, S Kumar, K Achan US Patent 11,068,960, 2021 | 16 | 2021 |
| LLM-take: theme-aware keyword extraction using large language models RY Maragheh, C Fang, CC Irugu, P Parikh, J Cho, J Xu, S Sukumar, ... 2023 IEEE International Conference on Big Data (BigData), 4318-4324, 2023 | 14 | 2023 |
| Inductive representation learning on temporal graphs. arXiv 2020 D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan arXiv preprint arXiv:2002.07962, 0 | 14 | |
| Systems and methods for personalizing search engine recall and ranking using machine learning techniques HD Cho, S Kumar, K Achan, N Sinha, A Inan US Patent 11,704,374, 2023 | 11 | 2023 |
| Determining brand affinity of users S Kumar, HD Cho, K Achan, VSP Rapaka US Patent 11,403,690, 2022 | 11 | 2022 |
| Choice modeling and assortment optimization in the presence of context effects R Yousefi Maragheh, X Chen, J Davis, J Cho, S Kumar, K Achan Available at SSRN 3747354, 2020 | 10 | 2020 |
| Llm-ensemble: Optimal large language model ensemble method for e-commerce product attribute value extraction C Fang, X Li, Z Fan, J Xu, K Nag, E Korpeoglu, S Kumar, K Achan Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 9 | 2024 |
