| Nodeaug: Semi-supervised node classification with data augmentation Y Wang, W Wang, Y Liang, Y Cai, J Liu, B Hooi Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 165 | 2020 |
| Eignn: Efficient infinite-depth graph neural networks J Liu, K Kawaguchi, B Hooi, Y Wang, X Xiao Advances in Neural Information Processing Systems 34, 18762-18773, 2021 | 59 | 2021 |
| Scaling attributed network embedding to massive graphs R Yang, J Shi, X Xiao, Y Yang, J Liu, SS Bhowmick Proceedings of the VLDB Endowment 14 (1), 37-49, 2021 | 50 | 2021 |
| Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis Y Wang, M Chen, W Zhou, Y Cai, Y Liang, D Liu, B Yang, J Liu, B Hooi NAACL 2022, 2022 | 47 | 2022 |
| MGNNI: Multiscale Graph Neural Networks with Implicit Layers J Liu, B Hooi, K Kawaguchi, X Xiao Advances In Neural Information Processing Systems (NeurIPS), 2022, 2022 | 29 | 2022 |
| Node-wise diffusion for scalable graph learning K Huang, J Tang, J Liu, R Yang, X Xiao Proceedings of the ACM Web Conference 2023, 1723-1733, 2023 | 21 | 2023 |
| LSCALE: Latent Space Clustering-Based Active Learning for Node Classification J Liu, Y Wang, B Hooi, R Yang, X Xiao ECML-PKDD, 2022 | 19* | 2022 |
| PANE: scalable and effective attributed network embedding R Yang, J Shi, X Xiao, Y Yang, SS Bhowmick, J Liu The VLDB Journal 32 (6), 1237-1262, 2023 | 16 | 2023 |
| Scalable and effective implicit graph neural networks on large graphs J Liu, B Hooi, K Kawaguchi, Y Wang, C Dong, X Xiao The Twelfth International Conference on Learning Representations, 2024 | 9 | 2024 |
| Dangling-Aware Entity Alignment with Mixed High-Order Proximities J Liu, Z Sun, B Hooi, Y Wang, D Liu, B Yang, X Xiao, M Chen NAACL 2022 (Findings), 2022 | 9 | 2022 |
| A fusion-denoising attack on instahide with data augmentation X Luo, X Xiao, Y Wu, J Liu, BC Ooi Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1899-1907, 2022 | 7 | 2022 |
| Unitst: Effectively modeling inter-series and intra-series dependencies for multivariate time series forecasting J Liu, C Liu, G Woo, Y Wang, B Hooi, C Xiong, D Sahoo arXiv preprint arXiv:2406.04975, 2024 | 3 | 2024 |
| No pane, no gain: Scaling attributed network embedding in a single server R Yang, J Shi, X Xiao, Y Yang, SS Bhowmick, J Liu ACM SIGMOD Record 51 (1), 42-49, 2022 | 2 | 2022 |
| Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts X Liu, J Liu, G Woo, T Aksu, Y Liang, R Zimmermann, C Liu, S Savarese, ... arXiv preprint arXiv:2410.10469, 2024 | 1 | 2024 |
Bryan HooiNational University of SingaporeEmail được xác minh tại comp.nus.edu.sg
