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图表示：首先，将图数据表示为邻接矩阵或邻接列表的形式，其中每个节点表示为一个特征向量。

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接下来让我们考虑绿色结点。首先得到包括其自身的所有节点的特征值，然后取平均，然后该平均值向量可以输入到一个神经网络中，再得到一个向量。

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に多くの方法が提案されているというわけです。これに関しても同様に、勉強するときはどのようにノードの特徴量を更新しているのかな？という点を気にしておきましょう。なお、多くの場合ノード特徴量のみを更新しますが、エッジ特徴量も上記のような方法で更新している論文も存在します。

首先让我们看邻接矩阵的第一行，可以看到结点A连接着结点E。而结果矩阵中的第一行其实就是结点E的特征向量。类似地，结果矩阵中的第二行就是界定D与结点E的加和。通过这样一种处理，我们可以得到结点所有邻居的特征加和向量。

. සියල්ලන්ම කම්පා කරමින් පිළියන්දල ප්‍රදේශයෙන් ඇසෙන ඒ සංවේදී කතාව මෙන්න...

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