| GRAG: Graph Retrieval-Augmented Generation Y Hu, Z Lei, Z Zhang, B Pan, C Ling, L Zhao arXiv preprint arXiv:2405.16506, 2024 | 37 | 2024 |
| Equity2vec: End-to-end deep learning framework for cross-sectional asset pricing Q Wu, CG Brinton, Z Zhang, A Pizzoferrato, Z Liu, M Cucuringu Proceedings of the Second ACM International Conference on AI in Finance, 1-9, 2021 | 35* | 2021 |
| Balancing specialized and general skills in llms: The impact of modern tuning and data strategy Z Zhang, C Zheng, D Tang, K Sun, Y Ma, Y Bu, X Zhou, L Zhao arXiv preprint arXiv:2310.04945, 2023 | 29 | 2023 |
| Unsupervised deep subgraph anomaly detection Z Zhang, L Zhao 2022 IEEE International Conference on Data Mining (ICDM), 753-762, 2022 | 29 | 2022 |
| Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data Y Hu, Z Zhang, L Zhao arXiv preprint arXiv:2310.04944, 2023 | 25 | 2023 |
| Representation learning on spatial networks Z Zhang, L Zhao Advances in Neural Information Processing Systems 34, 2303-2318, 2021 | 22 | 2021 |
| Large language models for spatial trajectory patterns mining Z Zhang, H Amiri, Z Liu, L Zhao, A Züfle Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial …, 2024 | 18 | 2024 |
| Curriculum learning for graph neural networks: Which edges should we learn first Z Zhang, J Wang, L Zhao Advances in Neural Information Processing Systems 36, 2024 | 12* | 2024 |
| Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories Z Zhang, H Amiri, D Yu, Y Hu, L Zhao, A Züfle Proceedings of the 32nd ACM International Conference on Advances in …, 2024 | 6 | 2024 |
| Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs Z Zhang, F Yang, Z Jiang, Z Chen, Z Zhao, C Ma, L Zhao, Y Liu arXiv preprint arXiv:2404.01430, 2024 | 5 | 2024 |
| Distilling large language models for text-attributed graph learning B Pan, Z Zhang, Y Zhang, Y Hu, L Zhao Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 4 | 2024 |
| Hireview: Hierarchical taxonomy-driven automatic literature review generation Y Hu, Z Li, Z Zhang, C Ling, R Kanjiani, B Zhao, L Zhao arXiv preprint arXiv:2410.03761, 2024 | 2 | 2024 |
| TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs Z Li, Z Gou, X Zhang, Z Liu, S Li, Y Hu, C Ling, Z Zhang, L Zhao arXiv preprint arXiv:2406.10310, 2024 | 2 | 2024 |
| TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations Z Zhang, Y Hu, B Pan, C Ling, L Zhao arXiv preprint arXiv:2405.16800, 2024 | 1 | 2024 |
| Representation Learning of Geometric Trees Z Zhang, A Zhang, R Nelson, G Ascoli, L Zhao Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| Self-Similar Graph Neural Network for Hierarchical Graph Learning Z Zhang, L Zhao Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | | 2024 |
| Non-Euclidean Spatial Graph Neural Network Z Zhang, S Li, J Zhou, J Wang, A Angirekula, A Zhang, L Zhao Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | | 2024 |
| Transferable Deep Clustering Model Z Zhang, L Zhao arXiv preprint arXiv:2310.04946, 2023 | | 2023 |
| Fast and Scalable Unsupervised Deep Subgraph Anomaly Detection Z Zhang, L Zhao | | 2023 |
