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Dongjin Lee
Dongjin Lee
AI Researcher, KakaoBrain
Bestätigte E-Mail-Adresse bei kakaobrain.com
Titel
Zitiert von
Zitiert von
Jahr
Robust factorization of real-world tensor streams with patterns, missing values, and outliers
D Lee, K Shin
2021 IEEE 37th International Conference on Data Engineering (ICDE), 840-851, 2021
222021
Temporal locality-aware sampling for accurate triangle counting in real graph streams
D Lee, K Shin, C Faloutsos
The VLDB Journal 29 (6), 1501-1525, 2020
152020
I’m me, we’re us, and i’m us: Tri-directional contrastive learning on hypergraphs
D Lee, K Shin
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8456-8464, 2023
142023
Slicenstitch: Continuous cp decomposition of sparse tensor streams
T Kwon, I Park, D Lee, K Shin
2021 IEEE 37th International Conference on Data Engineering (ICDE), 816-827, 2021
122021
Graphlets over Time: A New Lens for Temporal Network Analysis
D Yoon, D Lee, M Choe, K Shin
arXiv preprint arXiv:2301.00310, 2023
32023
Datasets, tasks, and training methods for large-scale hypergraph learning
S Kim, D Lee, Y Kim, J Park, T Hwang, K Shin
Data Mining and Knowledge Discovery 37 (6), 2216-2254, 2023
22023
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
D Lee, J Lee, K Shin
Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13374 …, 2024
12024
Data processing method of detecting and recovering missing values, outliers and patterns in tensor stream data
C Jeong, D Lee, K Shin
US Patent App. 17/672,060, 2022
2022
Continuous CP Decomposition of Sparse Tensor Streams
T Kwon, I Park, D Lee, K Shin
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