John Boaz Lee
John Boaz Lee
Research Scientist, Facebook
Verified email at - Homepage
Cited by
Cited by
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
Graph Classification using Structural Attention
JB Lee, R Rossi, X Kong
Proc. of KDD '18, 1666-1674, 2018
Attention models in graphs: A survey
JB Lee, RA Rossi, S Kim, NK Ahmed, E Koh
ACM TKDD 13 (6), 2019
Role-based Graph Embeddings
N Ahmed, RA Rossi, JB Lee, T Willke, R Zhou, X Kong, H Eldardiry
IEEE TKDE 34 (5), 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
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
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
Graph convolutional networks with motif-based attention
JBT Lee, R Rossi, S Kim, E Koh, A Rao
US Patent 11,544,535, 2023
Understanding the behavior of filipino twitter users during disaster
JB Lee, M Yba˝ez, MM De Leon, MRE Estuar
JoC 3 (2), 2013
Link prediction in a modified heterogeneous bibliographic network
JB Lee, H Adorna
Proc. of ASONAM '12, 442-449, 2012
Patch reviewer recommendation in oss projects
JB Lee, A Ihara, A Monden, K Matsumoto
Proc. of APSEC '13, 1-6, 2013
Voting behavior analysis in the election of Wikipedia admins
G Cabunducan, R Castillo, JB Lee
Proc. of ASONAM '11, 545-547, 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
Uncovering the Social Dynamics of Online Elections.
JB Lee, G Cabunducan, FG Cabarle, R Castillo, JA Malinao
J. UCS 18 (4), 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
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
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
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
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
Learning compact graph representations via an encoder-decoder network
JB Lee, X Kong
ANS 4 (1), 2019
The system can't perform the operation now. Try again later.
Articles 1–20