| Continuous-time dynamic network embeddings GH Nguyen, JB Lee, RA Rossi, NK Ahmed, E Koh, S Kim Comp. Proc. of WWW '18, 969-976, 2018 | 638 | 2018 |
| Graph Classification using Structural Attention JB Lee, R Rossi, X Kong Proc. of KDD '18, 1666-1674, 2018 | 330 | 2018 |
| Attention models in graphs: A survey JB Lee, RA Rossi, S Kim, NK Ahmed, E Koh ACM TKDD 13 (6), 2019 | 318 | 2019 |
| Role-based Graph Embeddings N Ahmed, RA Rossi, JB Lee, T Willke, R Zhou, X Kong, H Eldardiry IEEE TKDE 34 (5), 2022 | 228* | 2022 |
| Graph Convolutional Networks with Motif-based Attention JB Lee, RA Rossi, X Kong, S Kim, E Koh, A Rao Proc. of CIKM '19, 499-508, 2019 | 141* | 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 TKDD 14 (5), 2020 | 121* | 2020 |
| Dynamic Network Embeddings: From Random Walks to Temporal Random Walks GH Nguyen, JB Lee, RA Rossi, NK Ahmed, E Koh, S Kim Proc. of BigData '18, 1085-1092, 2018 | 75 | 2018 |
| Graph convolutional networks with motif-based attention JBT Lee, R Rossi, S Kim, E Koh, A Rao US Patent 11,544,535, 2023 | 45 | 2023 |
| Understanding the behavior of filipino twitter users during disaster JB Lee, M Ybañez, MM De Leon, MRE Estuar JoC 3 (2), 2013 | 29* | 2013 |
| Link prediction in a modified heterogeneous bibliographic network JB Lee, H Adorna Proc. of ASONAM '12, 442-449, 2012 | 29 | 2012 |
| Patch reviewer recommendation in oss projects JB Lee, A Ihara, A Monden, K Matsumoto Proc. of APSEC '13, 1-6, 2013 | 24 | 2013 |
| Voting behavior analysis in the election of Wikipedia admins G Cabunducan, R Castillo, JB Lee Proc. of ASONAM '11, 545-547, 2011 | 20 | 2011 |
| Identifying Deep Contrasting Networks from Time Series Data: Application to Brain Network Analysis JB Lee, X Kong, Y Bao, C Moore Proc. of SDM '17, 543-551, 2017 | 19 | 2017 |
| Uncovering the Social Dynamics of Online Elections. JB Lee, G Cabunducan, FG Cabarle, R Castillo, JA Malinao J. UCS 18 (4), 2012 | 10 | 2012 |
| Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks H Yin, JB Lee, X Kong, T Hartvigsen, S Xie Proc. of KDD '21, 2017-2025, 2021 | 8 | 2021 |
| Recurrent Networks for Guided Multi-Attention Classification X Dai, X Kong, T Guo, JB Lee, X Liu, C Moore Proc. of KDD '20, 412-420, 2020 | 4 | 2020 |
| Deep Parametric Model for Discovering Group-cohesive Functional Brain Regions JB Lee, X Kong, CM Moore, NK Ahmed Proc. of SDM '20, 631-639, 2020 | 3 | 2020 |
| Dual-Attention Recurrent Networks for Affine Registration of Neuroimaging Data X Dai, X Kong, X Liu, JB Lee, C Moore Proc. of SDM '20, 379-387, 2020 | 2 | 2020 |
| A Quantitative Analysis-based Algorithm for Optimal Data Signature Construction of Traffic Data Sets JA Malinao, RAB Juayong, RMU Tadlas, JB Clemente, ERF Oquendo, ... IMT 7 (3), 2012 | 2 | 2012 |
| Learning compact graph representations via an encoder-decoder network JB Lee, X Kong ANS 4 (1), 2019 | 1 | 2019 |
Ryan A. RossiAdobe ResearchVerified email at adobe.com
