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Yunyong Ko
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Efficient and effective influence maximization in social networks: a hybrid-approach
YY Ko, KJ Cho, SW Kim
Information Sciences 465, 144-161, 2018
432018
KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction
SWK Yunyong Ko, Seongeun Ryu, Soeun Han, Yeongseung Jeon, Jaehoon Kim ...
Proceedings of The ACM Web Conference, 2023
152023
An in-depth analysis of distributed training of deep neural networks
Y Ko, K Choi, J Seo, SW Kim
2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021
152021
MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems
Y Ko, JS Yu, HK Bae, Y Park, D Lee, SW Kim
2021 IEEE International Conference on Data Mining (ICDM), 290-299, 2021
142021
Influence maximisation in social networks: A target-oriented estimation
YY Ko, DK Chae, SW Kim
Journal of Information Science 44 (5), 671-682, 2018
102018
Accurate path-based methods for influence maximization in social networks
YY Ko, DK Chae, SW Kim
Proceedings of the 25th International Conference Companion on World Wide Web …, 2016
92016
Aladdin: Asymmetric centralized training for distributed deep learning
Y Ko, K Choi, H Jei, D Lee, SW Kim
Proceedings of the 30th ACM International Conference on Information …, 2021
72021
Not all layers are equal: A layer-wise adaptive approach toward large-scale DNN training
Y Ko, D Lee, SW Kim
Proceedings of the ACM Web Conference 2022, 1851-1859, 2022
62022
RealGraphGPU: A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis
MH Jang, Y Ko, D Jeong, JM Park, SW Kim
Proceedings of the 31st ACM International Conference on Information …, 2022
52022
SHAT: A Novel Asynchronous Training Algorithm That Provides Fast Model Convergence in Distributed Deep Learning
Y Ko, SW Kim
Applied Sciences 12 (1), 292, 2021
42021
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication
MH Jang, Y Ko, HM Gwon, I Jo, Y Park, SW Kim
arXiv preprint arXiv:2308.13626, 2023
32023
HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System
Y Jeon, J Kim, S Park, Y Ko, S Ryu, SW Kim, K Han
Proceedings of the ACM on Human-Computer Interaction 8 (CSCW1), 1-34, 2024
22024
D-FEND: A diffusion-based fake news detection framework for news articles related to COVID-19
S Han, Y Ko, Y Kim, SS Oh, H Park, SW Kim
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 1771-1778, 2022
22022
COVID-19 Cascade Dataset for Fake News Detection
SE Han, Y Kang, Y Ko, J Ahn, Y Kim, SS Oh, H Park, SW Kim
Proceedings of the Korea Information Processing Society Conference, 312-313, 2021
22021
Enhancing hyperedge prediction with context-aware self-supervised learning
Y Ko, H Tong, SW Kim
arXiv preprint arXiv:2309.05798, 2023
12023
Performance Evaluation of Negative Sampling Methods in a Hyperedge Prediction Task
D Lee, S Yu, Y Ko, SW Kim
Proceedings of the Korea Information Processing Society Conference, 527-530, 2024
2024
Performance Evaluation of Graph and Hypergraph Learning for Real-world Dynamic Networks
S Yu, D Lee, Y Ko, SW Kim
Proceedings of the Korea Information Processing Society Conference, 675-677, 2024
2024
Knowledge Graph Embedding Methods for Political Stance Prediction: Performance Evaluation
S Ryu, Y Ko, SW Kim
Proceedings of the Korea Information Processing Society Conference, 519-521, 2023
2023
CoAID+ : COVID-19 News Cascade Dataset for Social Context Based Fake News Detection
S Han, Y Kang, Y Ko, J Ahn, Y Kim, S Oh, H Park, SW Kim
KIPS Transactions on Software and Data Engineering 11 (4), 149-156, 2022
2022
Precision Switching for Efficient Matrix Factorization in Recommender Systems
JS Yu, YY Ko, HK Bae, S Kang, Y Yu, Y Park, SW Kim
Proceedings of the Korea Information Processing Society Conference, 314-315, 2021
2021
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Articles 1–20