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Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

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您好,如果是三维输入,是直接改模型好呢,还是用一个循环跑input.shape[0]次比较好呢?

[graphsage 采样](https://github.com/shenweichen/GraphNeuralNetwork/blob/master/gnn/run_graphsage_cora.py#L30) 这里的实现是分两次采样邻居,而非论文中由选定点出发采样形成子图? 请问采样部分与论文中是否有出入呢?

Hi! I'm reading this paper and try to exploit your ways to other application. I have some questions about input data format. 1.cora.features. How did you get the eigenvector? 2.cora_edgelist.txt....

修改位置没有加toarray()会导致tensor转换报错,添加即可