| Inductive representation learning on temporal graphs D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan arXiv preprint arXiv:2002.07962, 2020 | 498 | 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 | 108 | 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 | 98 | 2020 |
| Utility of carotid intimal medial thickness as a screening tool for evaluation of coronary artery disease in pre-transplant end stage renal disease N Modi, A Kapoor, S Kumar, S Tewari, N Garg, N Sinha Journal of postgraduate medicine 52 (4), 266-270, 2006 | 38 | 2006 |
| 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 | 30 | 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 | 28* | 2020 |
| 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 | 19 | 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 | 16 | 2019 |
| 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 | 16 | 2017 |
| 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 | 15 | 2021 |
| Inductive representation learning on temporal graphs. arXiv 2020 D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan arXiv preprint arXiv:2002.07962, 0 | 11 | |
| Methods and apparatus for item substitution D Xu, R Chuanwei, K Motwani, E Korpeoglu, S Kumar, K Achan US Patent 11,068,960, 2021 | 10 | 2021 |
| 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 |
| Ad-Hoc wireless sensor network based on IEEE 802.15. 4: theoretical review K Mor, S Kumar, D Sharma International Journal of Computer Sciences and Engineering 6 (3), 219-224, 2018 | 10 | 2018 |
| Bandna and P. Das D Sharma, S Kumar, AK Shil, NR Guha Tetrahedron Lett 53, 7044, 2012 | 9 | 2012 |
| 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 | 7 | 2023 |
| IIT Kharagpur at TAC 2008: Statistical Model for Opinion Summarization. S Kumar, D Chatterjee TAC, 2008 | 7 | 2008 |
| Causal structure learning with recommendation system S Xu, D Xu, E Korpeoglu, S Kumar, S Guo, K Achan, Y Zhang arXiv preprint arXiv:2210.10256, 2022 | 6 | 2022 |
| Systems and methods for determining substitutions K Motwani, S Kumar, K Achan, VS Kalidindi, R Ramkumar, ... US Patent 11,354,719, 2022 | 6 | 2022 |
| Methods and apparatuses for recommending substitutions made during order fulfillment processes HD Cho, S Bhatt, VS Kalidindi, K Motwani, S Kumar, K Achan US Patent App. 16/752,536, 2021 | 6 | 2021 |
