| 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 | 117* | 2020 |
| node2bits: Compact time-and attribute-aware node representations D Jin, M Heimann, R Rossi, D Koutra ECML/PKDD European Conference on Principles and Practice of Knowledge …, 2019 | 45* | 2019 |
| Latent network summarization: Bridging network embedding and summarization D Jin, RA Rossi, E Koh, S Kim, A Rao, D Koutra Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 31 | 2019 |
| Perseus: an interactive large-scale graph mining and visualization tool D Koutra, D Jin, Y Ning, C Faloutsos Proceedings of the VLDB Endowment 8 (12), 1924-1927, 2015 | 31 | 2015 |
| Smart roles: Inferring professional roles in email networks D Jin, M Heimann, T Safavi, M Wang, W Lee, L Snider, D Koutra Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 22 | 2019 |
| Toward understanding and evaluating structural node embeddings J Jin, M Heimann, D Jin, D Koutra ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (3), 1-32, 2021 | 21 | 2021 |
| Deep transfer learning for multi-source entity linkage via domain adaptation D Jin, B Sisman, H Wei, XL Dong, D Koutra arXiv preprint arXiv:2110.14509, 2021 | 16 | 2021 |
| A deep dive into understanding the random walk-based temporal graph learning N Talati, D Jin, H Ye, A Brahmakshatriya, G Dasika, S Amarasinghe, ... 2021 IEEE International Symposium on Workload Characterization (IISWC), 87-100, 2021 | 10 | 2021 |
| PERSEUS-HUB: interactive and collective exploration of large-scale graphs D Jin, A Leventidis, H Shen, R Zhang, J Wu, D Koutra Informatics 4 (3), 22, 2017 | 10 | 2017 |
| Exploratory Analysis of Graph Data by Leveraging Domain Knowledge D Jin, D Koutra The IEEE International Conference on Data Mining series (ICDM), 0 | 9* | |
| From static to dynamic node embeddings D Jin, S Kim, RA Rossi, D Koutra arXiv preprint arXiv:2009.10017, 2020 | 6 | 2020 |
| Fast flow-based random walk with restart in a multi-query setting Y Yan, M Heimann, D Jin, D Koutra Proceedings of the 2018 SIAM International Conference on Data Mining, 342-350, 2018 | 6 | 2018 |
| On generalizing static node embedding to dynamic settings D Jin, S Kim, RA Rossi, D Koutra Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 5 | 2022 |
| TransFusion: Multi-modal fusion for video tag inference via translation-based knowledge embedding D Jin, Z Qi, Y Luo, Y Shan Proceedings of the 29th ACM International Conference on Multimedia, 1093-1101, 2021 | 5 | 2021 |
| Understanding and Evaluating Structural Node Embeddings J Jin, M Heimann, D Jin, D Koutra KDD MLG Workshop, 2020 | 5 | 2020 |
| Convolutional neural network dynamics: A graph perspective F Vahedian, R Li, P Trivedi, D Jin, D Koutra | 3 | 2021 |
| On structural vs. Proximity-based temporal node embeddings P Trivedi, A Büyükçakır, Y Lin, Y Qian, D Jin, D Koutra | 3 | 2018 |
| TeleLink: Link Prediction in Social Network Based on Multiplex Cohesive Structures D Jin, M Wang, YR Lin Social, Cultural, and Behavioral Modeling: 9th International Conference, SBP …, 2016 | 2 | 2016 |
| PERSEUS3: Visualizing and Interactively Mining Large-Scale Graphs D Jin, T Sethapakdi, D Koutra, C Faloutsos Proceedings of the WOODSTOCK 97, 0 | 1 | |
Danai KoutraUniversity of Michigan, Ann Arbor在 umich.edu 的电子邮件经过验证
