Ask For help

[ghost]

Thank you for your contribution.
The form of deepwalk's embedding is as follows,

How do we need to preprocess to satisfy the input of the program? Can you give me some ideas?
Thank you very much.

[UalwaysKnow]

you might delete the first line, and then delete the id of each vector, you will get the final matrix which size is 5313*128 bigfour <[email protected]> 于2020年7月7日周二 下午8:15写道：

…

Thank you for your contribution. The form of deepwalk's embedding is as follows, [image: 图片] <https://user-images.githubusercontent.com/28142229/86779698-6de78580-c08e-11ea-922c-326b30c9961c.png> How do we need to preprocess to satisfy the input of the program? Can you give me some ideas? Thank you very much. — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#2>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AMUFY6GZXPKWUIMPMF2RVGLR2MGW7ANCNFSM4OSYFI4A> .

[ghost]

you might delete the first line, and then delete the id of each vector, you
will get the final matrix which size is 5313*128

bigfour [email protected] 于2020年7月7日周二 下午8:15写道：
…
Thank you for your contribution.
The form of deepwalk's embedding is as follows,
[image: 图片]
https://user-images.githubusercontent.com/28142229/86779698-6de78580-c08e-11ea-922c-326b30c9961c.png
How do we need to preprocess to satisfy the input of the program? Can you
give me some ideas?
Thank you very much.

—
You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHub
<#2>, or
unsubscribe
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.
您好，在复现您的代码时，对一个输入文件不是特别清楚，代码如下：
#gailv：三行---序号，度数，概率
parser.add_argument('--input_netl_weight', nargs='?', default='../example_embeddings/four-weight.txt', help='Input left sampling weight')
parser.add_argument('--input_netr_weight', nargs='?', default='../example_embeddings/twit-weight.txt', help='Input right sampling weight')
我理解的是：每行表示一个节点的信息，包含三个元素，分别是“节点编号、节点的度、概率”，但是我对这个概率不是很清楚。
这个”four-weight.txt“的格式是什么样的？这个概率是如何计算得到的？
十分感谢！！！
我的邮箱是[email protected]，希望有机会能和您有更多的交流。谢谢

[UalwaysKnow]

概率应该是某一个节点的度/整个图的边的个数发自我的iPhone------------------ Original ------------------From: bigfour <[email protected]>Date: Thu,Jul 23,2020 10:11 AMTo: yiweizhang526/social-network-alignment <[email protected]>Cc: yiweizhang526 <[email protected]>, Comment <[email protected]>Subject: Re: [yiweizhang526/social-network-alignment] Ask For help (#2) you might delete the first line, and then delete the id of each vector, you will get the final matrix which size is 5313*128 bigfour [email protected] 于2020年7月7日周二 下午8:15写道： … Thank you for your contribution. The form of deepwalk's embedding is as follows, [image: 图片] https://user-images.githubusercontent.com/28142229/86779698-6de78580-c08e-11ea-922c-326b30c9961c.png How do we need to preprocess to satisfy the input of the program? Can you give me some ideas? Thank you very much. — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#2>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMUFY6GZXPKWUIMPMF2RVGLR2MGW7ANCNFSM4OSYFI4A . 您好，在复现您的代码时，对一个输入文件不是特别清楚，代码如下： #gailv：三行---序号，度数，概率 parser.add_argument('--input_netl_weight', nargs='?', default='../example_embeddings/four-weight.txt', help='Input left sampling weight') parser.add_argument('--input_netr_weight', nargs='?', default='../example_embeddings/twit-weight.txt', help='Input right sampling weight') 我理解的是：每行表示一个节点的信息，包含三个元素，分别是“节点编号、节点的度、概率”，但是我对这个概率不是很清楚。 这个”four-weight.txt“的格式是什么样的？这个概率是如何计算得到的？ 十分感谢！！！ 我的邮箱是[email protected]，希望有机会能和您有更多的交流。谢谢 —You are receiving this because you commented.Reply to this email directly, view it on GitHub, or unsubscribe. [ { "@context": "http://schema.org", "@type": "EmailMessage", "potentialAction": { "@type": "ViewAction", "target": "#2 (comment)", "url": "#2 (comment)", "name": "View Issue" }, "description": "View this Issue on GitHub", "publisher": { "@type": "Organization", "name": "GitHub", "url": "https://github.com" } } ]

[bearlzy]

您好，在复现您的代码时遇到了一些问题，我想请问您关于输入文件的具体内容以及格式，参数如下：
--input_netl_nodes --input_netr_nodes --input_netl_weight --input_netr_weight --input_netl_anchors --input_netr_anchors --input_train_anchors --input_test_anchors --input_test_netl_embeddings --input_test_netr_embeddings --left_nodes_num --right_nodes_num --train_anchors_num --test_anchors_num，如果能得到您的回复我将十分感谢，我的邮箱是[email protected]

[bearlzy]

您好，我复现代码得出的结果都很小，不知道是不是我输入的数据存在问题，结果如下：

想请问一下您的准确率具体是怎么计算的，具体代码如下：


期待您的回复，十分感谢，我的邮箱是[email protected]