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An Introduction to Graph Neural Networks: Models and Applications

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An Introduction to Graph Neural Networks: Models and Applications

MSR Cambridge, AI Residency Advanced Lecture Series An Introduction to Graph Neural Networks: Models and Applications Got it now: "Graph Neural Networks (GNN) are a general class of networks that work over graphs. By representing a problem as a graph — encoding the information of individual elements as nodes and their relationships as edges ...

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Graph Theory Introduction

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从 12:00 开始Practical Applications of Graphical Networks

An Introduction to Graph Neural Networks: Models and Applications

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从 00:24 开始How GNNs Work with Graph Data

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