| Continuous-time dynamic network embeddings GH Nguyen, JB Lee, RA Rossi, NK Ahmed, E Koh, S Kim Companion proceedings of the the web conference 2018, 969-976, 2018 | 652 | 2018 |
| Attention models in graphs: A survey JB Lee, RA Rossi, S Kim, NK Ahmed, E Koh ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (6), 1-25, 2019 | 326 | 2019 |
| Bias and fairness in large language models: A survey IO Gallegos, RA Rossi, J Barrow, MM Tanjim, S Kim, F Dernoncourt, T Yu, ... Computational Linguistics, 1-79, 2024 | 320 | 2024 |
| SVM Tutorial-Classification, Regression and Ranking. H Yu, S Kim Handbook of Natural computing 1, 479-506, 2012 | 306 | 2012 |
| Temporal network representation learning JB Lee, G Nguyen, RA Rossi, NK Ahmed, E Koh, S Kim arXiv preprint arXiv:1904.06449, 2019 | 140 | 2019 |
| On proximity and structural role-based embeddings in networks: Misconceptions, techniques, and applications RA Rossi, D Jin, S Kim, NK Ahmed, D Koutra, JB Lee ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (5), 1-37, 2020 | 124* | 2020 |
| Graph convolutional networks with motif-based attention JB Lee, RA Rossi, X Kong, S Kim, E Koh, A Rao Proceedings of the 28th ACM international conference on information and …, 2019 | 105 | 2019 |
| Multilingual named entity recognition using parallel data and metadata from wikipedia S Kim, K Toutanova, H Yu Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012 | 97 | 2012 |
| Passive sampling for regression H Yu, S Kim 2010 IEEE international conference on data mining, 1151-1156, 2010 | 85 | 2010 |
| Dynamic network embeddings: From random walks to temporal random walks GH Nguyen, JB Lee, RA Rossi, NK Ahmed, E Koh, S Kim 2018 IEEE International Conference on Big Data (Big Data), 1085-1092, 2018 | 77 | 2018 |
| Visualizing uncertainty and alternatives in event sequence predictions S Guo, F Du, S Malik, E Koh, S Kim, Z Liu, D Kim, H Zha, N Cao Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019 | 58 | 2019 |
| A structural graph representation learning framework RA Rossi, NK Ahmed, E Koh, S Kim, A Rao, Y Abbasi-Yadkori Proceedings of the 13th international conference on web search and data …, 2020 | 53 | 2020 |
| When to recommend: A new issue on TV show recommendation J Oh, S Kim, J Kim, H Yu Information Sciences 280, 261-274, 2014 | 53 | 2014 |
| Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMS H Yu, T Kim, J Oh, I Ko, S Kim, WS Han Proceedings of the third international workshop on Data and text mining in …, 2009 | 51 | 2009 |
| Learning to recommend visualizations from data X Qian, RA Rossi, F Du, S Kim, E Koh, S Malik, TY Lee, J Chan Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 46 | 2021 |
| Higher-order graph convolutional networks JB Lee, RA Rossi, X Kong, S Kim, E Koh, A Rao arXiv preprint arXiv:1809.07697, 2018 | 43 | 2018 |
| Figure captioning with reasoning and sequence-level training C Chen, R Zhang, E Koh, S Kim, S Cohen, T Yu, R Rossi, R Bunescu arXiv preprint arXiv:1906.02850, 2019 | 42 | 2019 |
| Predicting online purchase conversion for retargeting J Yeo, S Kim, E Koh, S Hwang, N Lipka Proceedings of the Tenth ACM international conference on web search and data …, 2017 | 42 | 2017 |
| Figure captioning with relation maps for reasoning C Chen, R Zhang, E Koh, S Kim, S Cohen, R Rossi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 40 | 2020 |
| Generating accurate caption units for figure captioning X Qian, E Koh, F Du, S Kim, J Chan, RA Rossi, S Malik, TY Lee Proceedings of the Web Conference 2021, 2792-2804, 2021 | 37 | 2021 |
Hwanjo YuPOSTECHVerified email at postech.ac.kr
