| Symmetric graph convolutional autoencoder for unsupervised graph representation learning J Park, M Lee, HJ Chang, K Lee, JY Choi Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 237 | 2019 |
| Unsupervised hyperbolic representation learning via message passing auto-encoders J Park, J Cho, HJ Chang, JY Choi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 30 | 2021 |
| Confidence-based feature imputation for graphs with partially known features D Um, J Park, S Park, JY Choi arXiv preprint arXiv:2305.16618, 2023 | 8 | 2023 |
| Learning doubly stochastic affinity matrix via Davis-Kahan theorem J Park, T Kim 2017 IEEE International Conference on Data Mining (ICDM), 377-384, 2017 | 5 | 2017 |
| Latent 3D Graph Diffusion Y You, R Zhou, J Park, H Xu, C Tian, Z Wang, Y Shen The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| Meta-node: A Concise Approach to Effectively Learn Complex Relationships in Heterogeneous Graphs J Park, J Jeong, K Kim, JY Choi arXiv preprint arXiv:2210.14480, 2022 | | 2022 |
