| Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift Z Zhang, X Wang, Z Zhang, H Li, Z Qin, W Zhu Thirty-Sixth Conference on Neural Information Processing Systems, 2022 | 37 | 2022 |
| Graph differentiable architecture search with structure learning Y Qin, X Wang, Z Zhang, W Zhu Thirty-Fifth Conference on Neural Information Processing Systems 34, 16860-16872, 2021 | 34 | 2021 |
| Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum Z Zhang, Z Zhang, X Wang, W Zhu 36th AAAI Conference on Artificial Intelligence (AAAI), 2022 | 33 | 2022 |
| AutoGL: A Library for Automated Graph Learning C Guan, Z Zhang, H Li, H Chang, Z Zhang, Y Qin, J Jiang, X Wang, W Zhu ICLR 2021 Workshop GTRL, 2021 | 27* | 2021 |
| NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search Y Qin, Z Zhang, X Wang, Z Zhang, W Zhu Thirty-Sixth Conference on Neural Information Processing Systems, 2022 | 22 | 2022 |
| Large Graph Models: A Perspective Z Zhang, H Li, Z Zhang, Y Qin, X Wang, W Zhu NeurIPS 2023 Workshop GLFrontiers, 2023 | 11 | 2023 |
| LLM4DyG: Can Large Language Models Solve Problems on Dynamic Graphs? Z Zhang, X Wang, Z Zhang, H Li, Y Qin, S Wu, W Zhu arXiv preprint arXiv:2310.17110, 2023 | 10 | 2023 |
| Dynamic Heterogeneous Graph Attention Neural Architecture Search Z Zhang, Z Zhang, X Wang, Y Qin, Z Qin, W Zhu 37th AAAI Conference on Artificial Intelligence (AAAI), 2023 | 9 | 2023 |
| Graph meets llms: Towards large graph models Z Zhang, H Li, Z Zhang, Y Qin, X Wang, W Zhu NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023 | 5 | 2023 |
| Spectral invariant learning for dynamic graphs under distribution shifts Z Zhang, X Wang, Z Zhang, Z Qin, W Wen, H Xue, H Li, W Zhu Thirty-Seventh Conference on Neural Information Processing Systems, 2023 | 5 | 2023 |
| Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need? Z Zhang, X Wang, Z Zhang, P Cui, W Zhu arXiv preprint arXiv:2112.12345, 2021 | 5 | 2021 |
| Out-of-distribution generalized dynamic graph neural network for human albumin prediction Z Zhang, X Li, F Teng, N Lin, X Zhu, X Wang, W Zhu IEEE International Conference on Medical Artificial Intelligence, 2023 | 4 | 2023 |
| Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision Z Zhang, X Wang, Z Zhang, G Shen, S Shen, W Zhu Thirty-Seventh Conference on Neural Information Processing Systems, 2023 | 3 | 2023 |
| LLM4VG: Large Language Models Evaluation for Video Grounding W Feng, X Wang, H Chen, Z Zhang, Z Song, Y Zhou, W Zhu arXiv preprint arXiv:2312.14206, 2023 | 1 | 2023 |
| Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion Z Zhang, X Wang, Z Zhang, H Li, W Zhu arXiv preprint arXiv:2311.14255, 2023 | 1 | 2023 |
| Exploring the Potential of Large Language Models in Graph Generation Y Yao, X Wang, Z Zhang, Y Qin, Z Zhang, X Chu, Y Yang, W Zhu, H Mei arXiv preprint arXiv:2403.14358, 2024 | | 2024 |
| Curriculum Dynamic Graph Invariant Learning under Distribution Shift Z Zhang, H Li, Z Zhang, Z Zhang, Y Meng, X Wang, W Zhu | | 2023 |
| One-Shot Neural Channel Search: What Works and What’s Next C Guan, Y Qin, Z Wei, Z Zhang, Z Zhang, X Wang, W Zhu CVPR 2021 workshop, 0 | | |
Xin WangDepartment of Computer Science and Technology, Tsinghua UniversityVerified email at tsinghua.edu.cn
