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Revisiting Heterophily For Graph Neural Networks


Oct 14, 2022
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup

* Published at 36th Conference on Neural Information Processing Systems (NeurIPS 2022). arXiv admin note: substantial text overlap with arXiv:2109.05641 

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Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL


Mar 21, 2022
Akram Erraqabi, Marlos C. Machado, Mingde Zhao, Sainbayar Sukhbaatar, Alessandro Lazaric, Ludovic Denoyer, Yoshua Bengio


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Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?


Sep 12, 2021
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup


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A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning


Jun 03, 2021
Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio


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Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks


Sep 15, 2020
Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup


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Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks


Aug 20, 2020
Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup


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META-Learning Eligibility Traces for More Sample Efficient Temporal Difference Learning


Jun 16, 2020
Mingde Zhao

* A thesis submitted to McGill University in partial fulfillment of the requirements of the degree of Master of Computer Science 

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Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style


Oct 15, 2019
Hongwei Ge, Zehang Yan, Kai Zhang, Mingde Zhao, Liang Sun

* ICCV 2019 

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