| STGCN: a spatial-temporal aware graph learning method for POI recommendation H Han, M Zhang, M Hou, F Zhang, Z Wang, E Chen, H Wang, J Ma, Q Liu 2020 IEEE International Conference on Data Mining (ICDM), 1052-1057, 2020 | 42 | 2020 |
| Constructing educational concept maps with multiple relationships from multi-source data X Huang, Q Liu, C Wang, H Han, J Ma, E Chen, Y Su, S Wang 2019 IEEE International Conference on Data Mining (ICDM), 1108-1113, 2019 | 21 | 2019 |
| Amazon-m2: A multilingual multi-locale shopping session dataset for recommendation and text generation W Jin, H Mao, Z Li, H Jiang, C Luo, H Wen, H Han, H Lu, Z Wang, R Li, ... Advances in Neural Information Processing Systems 36, 2024 | 17 | 2024 |
| Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? H Mao, Z Chen, W Jin, H Han, Y Ma, T Zhao, N Shah, J Tang Advances in Neural Information Processing Systems 36, 2024 | 17 | 2024 |
| Label-free node classification on graphs with large language models (llms) Z Chen, H Mao, H Wen, H Han, W Jin, H Zhang, H Liu, J Tang arXiv preprint arXiv:2310.04668, 2023 | 17 | 2023 |
| Lazygnn: Large-scale graph neural networks via lazy propagation R Xue, H Han, MA Torkamani, J Pei, X Liu International Conference on Machine Learning, 38926-38937, 2023 | 12 | 2023 |
| Alternately optimized graph neural networks H Han, X Liu, H Mao, MA Torkamani, F Shi, V Lee, J Tang International Conference on Machine Learning, 12411-12429, 2023 | 8 | 2023 |
| Towards Label Position Bias in Graph Neural Networks H Han, X Liu, F Shi, MA Torkamani, C Aggarwal, J Tang Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Enhancing Graph Representations Learning with Decorrelated Propagation H Liu, H Han, W Jin, X Liu, H Liu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
| Graph Neural Networks as Multi-View Learning H Han, X Liu, H Mao, MA Torkamani, F Shi, V Lee, J Tang | 1 | 2022 |
| Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation J Li, H Han, Z Chen, H Shomer, W Jin, A Javari, J Tang arXiv preprint arXiv:2402.08921, 2024 | | 2024 |
| Mixture of Link Predictors L Ma, H Han, J Li, H Shomer, H Liu, X Gao, J Tang arXiv preprint arXiv:2402.08583, 2024 | | 2024 |
| Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation K Yang, H Han, W Jin, H Liu arXiv preprint arXiv:2310.13845, 2023 | | 2023 |
| Structural Fairness-aware Active Learning for Graph Neural Networks H Han, X Liu, L Ma, MA Torkamani, H Liu, J Tang, M Yamada The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| Large-Scale Graph Neural Networks: The Past and New Frontiers R Xue, H Han, T Zhao, N Shah, J Tang, X Liu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | | 2023 |
| Inverse APPNP: Solution for OGB-LSC 2022 MAG240M H Li, H Han, H Wen, W Jin, F Shi, V Lee, J Tang | | |
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityVerified email at msu.edu
