| Inductive Representation Learning on Temporal Graphs D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan arXiv preprint arXiv:2002.07962, 2020 | 1056 | 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 | 168 | 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 | 140 | 2020 |
| Pure: Positive-unlabeled recommendation with generative adversarial network Y Zhou, J Xu, J Wu, Z Taghavi, E Korpeoglu, K Achan, J He Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 55 | 2021 |
| 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 | 42 | 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 | 37 | 2020 |
| 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 | 31 | 2023 |
| Multi-period supplier selection under price uncertainty A Şen, H Yaman, K Güler, E Körpeoğlu Journal of the Operational Research Society 65 (11), 1636-1648, 2014 | 30 | 2014 |
| 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 | 26 | 2021 |
| Newsvendor competition under asymmetric cost information K Güler, E Körpeoğlu, A Şen European Journal of Operational Research 271 (2), 561-576, 2018 | 24 | 2018 |
| 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 | 22 | 2021 |
| Personal project management I Ari, R Ghosh, ME Dekhil, E Korpeoglu US Patent App. 12/418,484, 2010 | 20 | 2010 |
| 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 | 19 | 2019 |
| Non-cooperative joint replenishment under asymmetric information E Körpeoğlu, A Şen, K Güler European Journal of Operational Research 227 (3), 434-443, 2013 | 18 | 2013 |
| Methods and apparatus for item substitution D Xu, R Chuanwei, K Motwani, E Korpeoglu, S Kumar, K Achan US Patent 11,068,960, 2021 | 17 | 2021 |
| Design and analysis of mechanisms for decentralized joint replenishment K Güler, E Körpeoğlu, A Şen European Journal of Operational Research 259 (3), 992-1002, 2017 | 15 | 2017 |
| 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 | 14* | 2022 |
| LLM-Based Aspect Augmentations for Recommendation Systems RY Maragheh, L Morishetti, R Giahi, K Nag, J Xu, J Cho, E Korpeoglu, ... | 12 | 2023 |
| A temporal kernel approach for deep learning with continuous-time information D Xu, C Ruan, E Korpeoglu, S Kumar, K Achan arXiv preprint arXiv:2103.15213, 2021 | 12 | 2021 |
| Personalized review snippet generation and display HD Cho, E Korpeoglu, VSP Rapaka, K Achan US Patent 10,579,625, 2020 | 12 | 2020 |
