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Authors: Xiaojun Ma, Junshan Wang, Hanyue Chen, Guojie Song. RECOMMENDED BOOKS TO START WITH MACHINE LEARNING* ▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭ If you're ... Congxi Xiao, University of Science and Technology of China; Baidu Research GNNs have been widely used in many urban ... Many real-world tasks require understanding interactions between a set of entities. Examples include interacting atoms in ... Presented By: James Zou Speaker Biography: James Zou is an assistant professor of biomedical data science and, by courtesy, ... Correction: At 05:30 I forgot the yellow neighbor node for the upper blue node in the chart, sorry for that. :) ▭▭ Code ...

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Tutorial for Advanced Graph Neural Network Analysis for Spatial Transcriptomics
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An Introduction to Graph Neural Networks
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An Introduction to Graph Neural Networks

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Improving Graph Neural Networks with Structural Adaptive Receptive Fields
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Improving Graph Neural Networks with Structural Adaptive Receptive Fields

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Authors: Xiaojun Ma, Junshan Wang, Hanyue Chen, Guojie Song.

Graph Neural Networks - a perspective from the ground up
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Graph Neural Networks - a perspective from the ground up

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Last Updated: May 27, 2026

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