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Haoteng Yin

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2020 – today

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2023
[i8]
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  - journals/corr/abs-2303-03379
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  - https://dblp.org/rec/journals/corr/abs-2303-03379
Haoteng Yin, Muhan Zhang, Jianguo Wang, Pan Li:
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning. CoRR abs/2303.03379 (2023)
2022
[j1]
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Haoteng Yin, Muhan Zhang, Yanbang Wang, Jianguo Wang, Pan Li:
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning. Proc. VLDB Endow. 15(11): 2788-2796 (2022)
[c3]
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  - conf/iclr/WangYZ022
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Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li:
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks. ICLR 2022
[c2]
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Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li:
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective. NeurIPS 2022
[i7]
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  - journals/corr/abs-2202-13538
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Haoteng Yin, Muhan Zhang, Yanbang Wang, Jianguo Wang, Pan Li:
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning. CoRR abs/2202.13538 (2022)
[i6]
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  - journals/corr/abs-2203-00199
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Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li:
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks. CoRR abs/2203.00199 (2022)
[i5]
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  - journals/corr/abs-2207-11311
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Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li:
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective. CoRR abs/2207.11311 (2022)
[i4]
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  - journals/corr/abs-2207-11649
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Prasita Mukherjee, Haoteng Yin, Susheel Suresh, Tiark Rompf:
OCTAL: Graph Representation Learning for LTL Model Checking. CoRR abs/2207.11649 (2022)
2020
[i3]
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  - journals/corr/abs-2011-12228
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Haoteng Yin, Yanbang Wang, Pan Li:
Revisit graph neural networks and distance encoding in a practical view. CoRR abs/2011.12228 (2020)

2010 – 2019

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2019
[i2]
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  - journals/corr/abs-1903-05631
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Bing Yu, Haoteng Yin, Zhanxing Zhu:
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling. CoRR abs/1903.05631 (2019)
2018
[c1]
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  - conf/ijcai/YuYZ18
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Bing Yu, Haoteng Yin, Zhanxing Zhu:
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting. IJCAI 2018: 3634-3640
2017
[i1]
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  - journals/corr/abs-1709-04875
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Bing Yu, Haoteng Yin, Zhanxing Zhu:
Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting. CoRR abs/1709.04875 (2017)

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