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Haoteng Yin

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Learning Scalable Structural Representations for Link Prediction with Bloom Signatures

Dec 28, 2023
Tianyi Zhang, Haoteng Yin, Rongzhe Wei, Pan Li, Anshumali Shrivastava

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On the Inherent Privacy Properties of Discrete Denoising Diffusion Models

Oct 24, 2023
Rongzhe Wei, Eleonora Kreačić, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li

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OCTAL: Graph Representation Learning for LTL Model Checking

Aug 19, 2023
Prasita Mukherjee, Haoteng Yin

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SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning

Mar 06, 2023
Haoteng Yin, Muhan Zhang, Jianguo Wang, Pan Li

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Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective

Jul 27, 2022
Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li

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Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Mar 03, 2022
Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li

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Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning

Feb 28, 2022
Haoteng Yin, Muhan Zhang, Yanbang Wang, Jianguo Wang, Pan Li

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Revisiting graph neural networks and distance encoding from a practical view

Nov 29, 2020
Haoteng Yin, Yanbang Wang, Pan Li

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ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling

Mar 13, 2019
Bing Yu, Haoteng Yin, Zhanxing Zhu

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