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Haoteng YIN
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Year
Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting
B Yu, H Yin, Z Zhu
Proceedings of the 27th International Joint Conference on Artificial …, 2018
36842018
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
H Wang, H Yin, M Zhang, P Li
ICLR 2022, 2022
1012022
St-unet: A spatio-temporal u-network for graph-structured time series modeling
B Yu, H Yin, Z Zhu
arXiv preprint arXiv:1903.05631, 2019
672019
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning
H Yin, M Zhang, Y Wang, J Wang, P Li
Proceedings of the VLDB Endowment 15 (11), 2788 - 2796, 2022
372022
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective
R Wei, H Yin, J Jia, AR Benson, P Li
NeurIPS 2022, 2022
212022
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning
H Yin, M Zhang, J Wang, P Li
Proceedings of the VLDB Endowment 16 (11), 2939 - 2948, 2023
72023
Revisiting graph neural networks and distance encoding from a practical view
H Yin, Y Wang, P Li
AAAI 2021, DLG workshop, 2020
72020
Semantic analysis of spatial temporal trajectory in LBSNs
H YIN, Y LIU
Scientia Sinica (Informationis) 47 (8), 1051-1065, 2017
42017
On the inherent privacy properties of discrete denoising diffusion models
R Wei, E Kreačić, H Wang, H Yin, E Chien, VK Potluru, P Li
Transaction on Machine Learning Research, 2024
12024
OCTAL: Graph Representation Learning for LTL Model Checking
P Mukherjee, H Yin, S Suresh, T Rompf
KDD 2023, DLG workshop (Contributed Talk), 2022
12022
SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents
W Xiang, H Yin, H Wang, X Jin
Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24), 2024
2024
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures
T Zhang, H Yin, R Wei, P Li, A Shrivastava
Proceedings of the ACM Web Conference 2024, 2023
2023
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Articles 1–12