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Usage of intra-vector for node classification task?
Hi,
I would like to know if the intra-vector could be used for the node classification task? If yes, how?
Thank you!
how to generate one-to-one matching result
Hi Xiaokai, I'm very interested in your MNA algorithm and I'm currently experimenting with it. However, I'm not sure how to get the multiple network alignment result using the inter-vectors. Would you please give me a hint(or a helper script if possible) about how to generate the alignment result from them? Best!
运行main.py 报错ValueError: Cannot feed value of shape (1024,) for Tensor u'u_i:0', which has shape '(3072,)'
环境python==2.7 tensorflow ==1.4
使用的是自带的数据集,报错信息如下:
('arXiv', '0.1', 'NetworkAlignment')
epoch 0: time for generate batches=2.231533s Traceback (most recent call last):
File "main.py", line 75, in <module> _, loss = sess.run([train_op, model.loss], feed_dict=feed_dict)
File "/home/zk/anaconda3/envs/alp-crossmna/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 889, in run
run_metadata_ptr)
File "/home/zk/anaconda3/envs/alp-crossmna/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1096, in _run
% (np_val.shape, subfeed_t.name, str(subfeed_t.get_shape())))
ValueError: Cannot feed value of shape (1024,) for Tensor u'u_i:0', which has shape '(3072,)'
请问这个问题怎么解决?
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