Obserwuj
Zeyang Zhang
Tytuł
Cytowane przez
Cytowane przez
Rok
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 (NeurIPS), 2022
712022
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
542022
Graph differentiable architecture search with structure learning
Y Qin, X Wang, Z Zhang, W Zhu
Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS …, 2021
502021
LLM4DyG: Can Large Language Models Solve Spatio-Temporal Problems on Dynamic Graphs
Z Zhang, X Wang, Z Zhang, H Li, Y Qin, W Zhu
Conference on Knowledge Discovery & Data Mining (ACM SIGKDD), 2023
40*2023
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
37*2021
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
32*2023
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 (NeurIPS), 2022
312022
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
242023
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 (NeurIPS), 2023
162023
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 (NeurIPS), 2023
142023
LLM-Enhanced Causal Discovery in Temporal Domain from Interventional Data
P Li, X Wang, Z Zhang, Y Meng, F Shen, Y Li, J Wang, Y Li, W Zhu
arXiv preprint arXiv:2404.14786, 2024
102024
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
102023
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
92024
Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization
H Li, X Wang, Z Zhang, H Chen, Z Zhang, W Zhu
Forty-first International Conference on Machine Learning, 2024
92024
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
92023
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
92021
LLM4VG: large language models evaluation for video grounding
W Feng, X Wang, H Chen, Z Zhang, H Chen, Z Song, Y Zhou, Y Yang, ...
arXiv preprint arXiv:2312.14206, 2023
82023
Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet
Z Zhang, X Wang, Y Qin, H Chen, Z Zhang, X Chu, W Zhu
Forty-first International Conference on Machine Learning, 0
7
Disenstudio: Customized multi-subject text-to-video generation with disentangled spatial control
H Chen, X Wang, Y Zhang, Y Zhou, Z Zhang, S Tang, W Zhu
Proceedings of the 32nd ACM International Conference on Multimedia, 3637-3646, 2024
62024
Multi-Modal Generative AI: Multi-modal LLM, Diffusion and Beyond
H Chen, X Wang, Y Zhou, B Huang, Y Zhang, W Feng, H Chen, Z Zhang, ...
arXiv preprint arXiv:2409.14993, 2024
62024
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