A survey of graph meets large language model: Progress and future directions Y Li, Z Li, P Wang, J Li, X Sun, H Cheng, JX Yu IJCAI 2024, 2023 | 21 | 2023 |
The devil is in the conflict: Disentangled information graph neural networks for fraud detection Z Li, D Chen, Q Liu, S Wu ICDM 2022, 2022 | 10 | 2022 |
GSLB: The Graph Structure Learning Benchmark Z Li, L Wang, X Sun, Y Luo, Y Zhu, D Chen, Y Luo, X Zhou, Q Liu, S Wu, ... NeurIPS 2023, 2024 | 6 | 2024 |
Uncovering neural scaling laws in molecular representation learning D Chen, Y Zhu, J Zhang, Y Du, Z Li, Q Liu, S Wu, L Wang NeurIPS 2023, 2024 | 4 | 2024 |
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction S Fang, K Zhao, Y Rong, Z Li, JX Yu arXiv preprint arXiv:2403.17740, 2024 | | 2024 |
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media J Zhang, Z Li, Q Liu, S Wu, L Wang arXiv preprint arXiv:2403.00037, 2024 | | 2024 |
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs Y Li, P Wang, Z Li, JX Yu, J Li SIGKDD 2024, 2024 | | 2024 |
Fairness without Demographics on Electronic Health Records Y Luo, Z Li, Q Liu, J Zhu AAAI 2024 Spring Symposium on Clinical Foundation Models, 2024 | | 2024 |