| Can abnormality be detected by graph neural networks? Z Chai, S You, Y Yang, S Pu, J Xu, H Cai, W Jiang IJCAI, 1945-1951, 2022 | 40 | 2022 |
| Graphllm: Boosting graph reasoning ability of large language model Z Chai, T Zhang, L Wu, K Han, X Hu, X Huang, Y Yang arXiv preprint arXiv:2310.05845, 2023 | 33 | 2023 |
| Time2Graph+: Bridging time series and graph representation learning via multiple attentions Z Cheng, Y Yang, S Jiang, W Hu, Z Ying, Z Chai, C Wang IEEE Transactions on Knowledge and Data Engineering 35 (2), 2078-2090, 2021 | 20 | 2021 |
| Infiagent-dabench: Evaluating agents on data analysis tasks X Hu, Z Zhao, S Wei, Z Chai, G Wang, X Wang, J Su, J Xu, M Zhu, ... ICML 24, 2024 | 5 | 2024 |
| Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network Z Chai, Y Yang, J Dan, S Tian, C Meng, W Wang, Y Sun Thirty-Seventh AAAI Conference on Artificial Intelligence 37, 2023 | 5 | 2023 |
| Can GNN be Good Adapter for LLMs? X Huang, K Han, Y Yang, D Bao, Q Tao, Z Chai, Q Zhu WWW 24, 2024 | 3 | 2024 |
| An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing Z Chai, G Wang, J Su, T Zhang, X Huang, X Wang, J Xu, J Yuan, H Yang, ... ACL 24, 2024 | 1 | 2024 |
| GNNs as Adapters for LLMs on Text-Attributed Graphs X Huang, K Han, Y Yang, D Bao, Q Tao, Z Chai, Q Zhu The Web Conference 2024, 0 | | |
