Friend recommendations with self-rescaling graph neural networks X Song, J Lian, H Huang, M Wu, H Jin, X Xie Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 11 | 2022 |
xgcn: An extreme graph convolutional network for large-scale social link prediction X Song, J Lian, H Huang, Z Luo, W Zhou, X Lin, M Wu, C Li, X Xie, H Jin Proceedings of the ACM Web Conference 2023, 349-359, 2023 | 9 | 2023 |
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability Z Luo, X Song, H Huang, J Lian, C Zhang, J Jiang, X Xie, H Jin arXiv preprint arXiv:2403.04483, 2024 | 6 | 2024 |
Temporal heterogeneous information network embedding via semantic evolution W Zhou, H Huang, R Shi, X Song, X Lin, X Wang, H Jin IEEE Transactions on Knowledge and Data Engineering 35 (12), 13031-13042, 2023 | 5 | 2023 |
XGCN: a library for large-scale graph neural network recommendations X Song, H Huang, J Lian, H Jin Frontiers of Computer Science 18 (3), 183343, 2024 | 1 | 2024 |
Cross-links matter for link prediction: rethinking the debiased GNN from a data perspective Z Luo, H Huang, J Lian, X Song, X Xie, H Jin Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |