Grad-Align: Gradual network alignment via graph neural networks (Student Abstract) JD Park, C Tran, WY Shin, X Cao Proceedings of the AAAI conference on artificial intelligence 36 (11), 13027 …, 2022 | 15 | 2022 |
On the power of gradual network alignment using dual-perception similarities JD Park, C Tran, WY Shin, X Cao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 7 | 2023 |
GradAlign+: Empowering gradual network alignment using attribute augmentation JD Park, C Tran, WY Shin, X Cao Proceedings of the 31st ACM international conference on information …, 2022 | 7 | 2022 |
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation JD Park, S Li, X Cao, WY Shin Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 6 | 2023 |
Explainable gait recognition with prototyping encoder–decoder J Moon, YM Shin, JD Park, NH Minaya, WY Shin, SI Choi Plos one 17 (3), e0264783, 2022 | 5 | 2022 |
Two-Stage Deep Anomaly Detection With Heterogeneous Time Series Data KJ Jeong, JD Park, K Hwang, SL Kim, WY Shin IEEE Access 10, 13704-13714, 2022 | 3 | 2022 |
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation JD Park, YM Shin, WY Shin SIGIR 2024 (to appear), 2024 | 1 | 2024 |
Node Feature Augmentation Vitaminizes Network Alignment JD Park, C Tran, WY Shin, X Cao arXiv preprint arXiv:2304.12751, 2023 | 1 | 2023 |
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity Y Hou, JD Park, WY Shin SIGIR 2024 (to appear), 2024 | | 2024 |
Collaborative Filtering Meets Diffusion Models Y Hou, JD Park, WY Shin 한국통신학회 학술대회논문집, 323-323, 2023 | | 2023 |
확장 그래프에서 그래프 신경망을 사용한 다 기준 추천 박진덕, 신원용 한국통신학회 학술대회논문집, 1343-1343, 2023 | | 2023 |
Two-Stage Deep Anomaly Detection with Heterogeneous Time Series Data KJ Jeong, JD Park, K Hwang, SL Kim, WY Shin arXiv preprint arXiv:2202.05093, 2022 | | 2022 |
기계학습을 활용한 네트워크정렬 기술 최근 동향 신원용, 박진덕 | | |