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Haoyang Li
Haoyang Li
Postdoctoral Associate, Cornell University
Verified email at mails.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
Billion-scale network embedding with iterative random projection
Z Zhang, P Cui, H Li, X Wang, W Zhu
IEEE International Conference on Data Mining (ICDM), 787-796, 2018
962018
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
H Li, X Wang, Z Zhang, W Zhu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
832021
Disentangled Contrastive Learning on Graphs
H Li, X Wang, Z Zhang, Z Yuan, H Li, W Zhu
Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS), 2021
692021
Out-Of-Distribution Generalization on Graphs: A Survey
H Li, X Wang, Z Zhang, W Zhu
arXiv preprint arXiv:2202.07987, 2022
632022
Learning Invariant Graph Representations for Out-of-Distribution Generalization
H Li, Z Zhang, X Wang, W Zhu
Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS), 2022
612022
Intention-aware Sequential Recommendation with Structured Intent Transition
H Li, X Wang, Z Zhang, J Ma, P Cui, W Zhu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
482021
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
382022
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 on Geometrical and Topological Representation Learning, 2021
27*2021
Disentangled Graph Contrastive Learning With Independence Promotion
H Li, Z Zhang, X Wang, W Zhu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
192022
AutoGT: Automated Graph Transformer Architecture Search
Z Zhang, X Wang, C Guan, Z Zhang, H Li, W Zhu
International Conference on Learning Representations (ICLR), 2023
152023
LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?
Z Zhang, X Wang, Z Zhang, H Li, Y Qin, W Zhu
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2024
14*2024
Fates of Microscopic Social Ecosystems: Keep Alive or Dead?
H Li, P Cui, C Zang, T Zhang, W Zhu, Y Lin
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
142019
Large Graph Models: A Perspective
Z Zhang, H Li, Z Zhang, Y Qin, X Wang, W Zhu
arXiv preprint arXiv:2308.14522, 2023
132023
Curriculum Graph Machine Learning: A Survey
H Li, X Wang, W Zhu
International Joint Conference on Artificial Intelligence (IJCAI), 2023
112023
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions
X Wang, Z Zhang, H Li, W Zhu
arXiv preprint arXiv:2201.01288, 2024
102024
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
72023
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
72023
Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments
H Li, Z Zhang, X Wang, W Zhu
ACM Transactions on Information Systems (TOIS), 2023
72023
Tutorials at The Web Conference 2023
V Fionda, O Hartig, R Abdolazimi, S Amer-Yahia, H Chen, X Chen, P Cui, ...
Companion Proceedings of the ACM Web Conference 2023, 648-658, 2023
42023
Intent-aware recommendation via disentangled graph contrastive learning
Y Wang, X Wang, X Huang, Y Yu, H Li, M Zhang, Z Guo, W Wu
International Joint Conference on Artificial Intelligence (IJCAI), 2023
32023
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