层数或收敛条件。 对于每个节点，我们在聚类时从它的所有邻居节点处获取其特征信息，当然也包括它自身的特征。

For pooling (in the event of graph-level outputs instead of node-level outputs) it's best to specify a straightforward pooling matrix that collects characteristics from their respective graph circumstances, as illustrated under:

Keke Palmer’s ex-manager advised her that her Mother would ‘die’ if she didn’t get rid of excess weight: ‘That really, actually traumatized me’

を用いて、どのように中心にあるノード（上図のAノード）を更新するのでしょうか？この更新方法にも多くの種類があり、例えば周辺環境を表すテンソル

"We know that a lot of of you are still mourning the loss of the GCN+ films and documentaries that we built. Within the pretty near potential, They are going to be coming. The explanation why is even more interesting than that," Richardson reported.

特征传播：对于每个节点，将其特征与其邻居节点的特征进行聚合，可以使用邻居节点的均值、最大值或拼接等操作。

චීන වෛරසය ගැන මෙරට සෞඛ්‍ය අංශවල විශේෂ අවධානයක්.. ඒ ගැන ඇසෙන කතාව මෙන්න..

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ජ්‍යේෂ්ඨ මාධ්‍යවේදිනියකගේ ස්වාමිපුරුෂයා දෙහිවලදී අබිරහස් ලෙස ජීවිතක්ෂයට..

being a employees author in 2022. He has actually been an avid bicycle owner for so long as he can remember, to begin with catching the mountain biking bug during the 1990s, and he raced mountain bikes for more than a decade prior to injuries Lower quick a glittering occupation.

Coleen Rooney appears to be refreshing-confronted as she grabs a espresso immediately after an early early morning health and fitness center class in Cheshire Coleen Rooney seemed fresh new-confronted as she grabbed a morning espresso immediately after an early morning health and fitness center class in Cheshire on Tuesday. 17 remarks 1 video

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可以把实际问题看作图中节点之间的连接和消息传播问题，对节点之间的依赖关系进行建模，从而能够很好地处理图结构数据。

我们应该使用平均值函数甚至是更好的加权平均值函数而非直接加和来处理邻居的特征向量。那为什么不能直接使用加和函数呢？原因就在于，当使用加和函数的时候，具有较大度值的结点会有很大的表示向量，而较低度的结点会有较小的聚合向量，这可能会导致梯度爆炸或梯度消失的问题（比如使用sigmoid函数时）。此外，神经网络对于输入数据的标度是非常敏感的，我们需要将这些向量进行标准化以消除潜在的问题。