leaderj1001 / Graph-Convolutional-Network

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Graph-Convolutional-Network

Why Convolution ??

Conventional Convolutional Neural Network

  • Sharing kernel filter parameters
  • Capture local area

Graph Convolutional Network

  • Sharing parameters
    • We use the same weight when computing the values of neighboring vertices in each vertex.
  • Capture local area
    • We only see neighboring vertices at each vertex.

Method

CodeCogsEqn

Implementation

CodeCogsEqn (1)

Annotation

  • A: Adjacent Matrix
  • W: Weight Parameters

Example

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