| 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 | 756 | 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 | 368 | 2019 |
| Higher-order network representation learning RA Rossi, NK Ahmed, E Koh Companion proceedings of the the web conference 2018, 3-4, 2018 | 126 | 2018 |
| 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 | 124 | 2019 |
| 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 | 92 | 2018 |
| combinFormation: Mixed-initiative composition of image and text surrogates promotes information discovery A Kerne, E Koh, SM Smith, A Webb, B Dworaczyk ACM Transactions on Information Systems (TOIS) 27 (1), 1-45, 2008 | 84 | 2008 |
| 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 | 77 | 2019 |
| Graph convolutional networks with motif-based attention JBT Lee, R Rossi, S Kim, E Koh, A Rao US Patent 11,544,535, 2023 | 72 | 2023 |
| Deepcompare: Visual and interactive comparison of deep learning model performance S Murugesan, S Malik, F Du, E Koh, TM Lai IEEE computer graphics and applications 39 (5), 47-59, 2019 | 70 | 2019 |
| Cgc: Contrastive graph clustering forcommunity detection and tracking N Park, R Rossi, E Koh, IA Burhanuddin, S Kim, F Du, N Ahmed, ... Proceedings of the ACM Web Conference 2022, 1115-1126, 2022 | 63 | 2022 |
| An experimental method for measuring the emergence of new ideas in information discovery A Kerne, SM Smith, E Koh, H Choi, R Graeber Intl. Journal of Human–Computer Interaction 24 (5), 460-477, 2008 | 60 | 2008 |
| 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 | 57 | 2020 |
| An evaluation-focused framework for visualization recommendation algorithms Z Zeng, P Moh, F Du, J Hoffswell, TY Lee, S Malik, E Koh, L Battle IEEE Transactions on Visualization and Computer Graphics 28 (1), 346-356, 2021 | 54 | 2021 |
| 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 | 53 | 2020 |
| combinFormation: A mixed-initiative system for representing collections as compositions of image and text surrogates A Kerne, E Koh, B Dworaczyk, JM Mistrot, H Choi, SM Smith, R Graeber, ... Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries, 11-20, 2006 | 53 | 2006 |
| Visual arrangements of bar charts influence comparisons in viewer takeaways C Xiong, V Setlur, B Bach, E Koh, K Lin, S Franconeri IEEE Transactions on Visualization and Computer Graphics 28 (1), 955-965, 2021 | 52 | 2021 |
| 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 | 52 | 2021 |
| Knowledge discovery from belief networks CR Ruiz, E Koh US Patent 9,691,032, 2017 | 49 | 2017 |
| 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 | 48 | 2019 |
| Conversion prediction from clickstream: Modeling market prediction and customer predictability J Yeo, S Hwang, E Koh, N Lipka IEEE Transactions on Knowledge and Data Engineering 32 (2), 246-259, 2018 | 46 | 2018 |
