[8]. 如何理解Graph Convolutional Network(GCN)? https://www.zhihu.com/question/54504471 [9]. Almeida–Pineda recurrent backpropagation, https://www.wikiwand.com/en/Almeida%E2%80%93Pineda_recurrent_backpropagation [10]. Gat...
[7]. Semi-Supervised Classification with Graph Convolutional Networks, https://arxiv.org/pdf/1609.02907 [8]. 如何通俗易懂地解释卷积, https://www.zhihu.com/question/22298352 [9]. https://en.wikipedia.org/wiki/Convolution...
[7]. Semi-Supervised Classification with Graph Convolutional Networks,https://arxiv.org/pdf/1609.02907 [8]. 如何通俗易懂地解释卷积,https://www.zhihu.com/question/22298352 [9].https://en.wikipedia.org/wiki/Convolution [10].https://mlnotebook.github.io/post/CNN1/ [11].http://snap.stanfor...
[7]. Semi-Supervised Classification with Graph Convolutional Networks, https://arxiv.org/pdf/1609.02907 [8]. 如何通俗易懂地解释卷积, https://www.zhihu.com/question/22298352 [9]. https://en.wikipedia.org/wiki/Convolution [10]. https://mlnotebook.github.io/post/CNN1/ [11]. http://snap...
因此,本文试图沿着图神经网络的历史脉络,从最早基于不动点理论的图神经网络(Graph Neural Network, GNN)一步步讲到当前用得最火的图卷积神经网络(Graph Convolutional Neural Network, GCN), 期望通过本文带给读者一些灵感与启示。 本文的提纲与叙述要点主要参考了2篇图神经网络的Survey,分别是来自IEEE Fellow的 A Co...
原文的一些备注 diag(x),x is vector.将向量x对角化。 sys normalized laplacian matrix image-20240310180048878 图论的一个定理 image-20240310181611507 Chebyshev Polynomial(切比雪夫多项式) image-20240310184134296 wiki GCN对Fourier domain的变体 image-20240310194416895...
因此,本文试图沿着图神经网络的历史脉络,从最早基于不动点理论的图神经网络(Graph Neural Network, GNN)一步步讲到当前用得最火的图卷积神经网络(Graph Convolutional Neural Network, GCN), 期望通过本文带给读者一些灵感与启示。 本文的提纲与叙述要点主要参考了2篇图神经网络的Survey,分别是来自IEEE Fellow的A Comp...
前言 big shout-out to @superbrother&@Johnny Richards，其中 如何理解 Graph Convolutional Network（GCN...
因此,本文试图沿着图神经网络的历史脉络,从最早基于不动点理论的图神经网络(Graph Neural Network, GNN)一步步讲到当前用得最火的图卷积神经网络(Graph Convolutional Neural Network, GCN), 期望通过本文带给读者一些灵感与启示。 本文的提纲与叙述要点主要参考了3篇图神经网络的Survey,分别是来自IEEE Fellow的A Comp...
[8]. 如何理解Graph Convolutional Network(GCN)?https://www.zhihu.com/question/54504471 [9]. Almeida–Pineda recurrent backpropagation,https://www.wikiwand.com/en/Almeida–Pineda_recurrent_backpropagation [10]. Gated graph sequence neural networks,https://arxiv.org/abs/1511.05493 ...