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tkipf / gcn

Implementation of Graph Convolutional Networks in TensorFlow
MIT License
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run GCN on my own dataset #114

Open Atif-ub opened 5 years ago

Atif-ub commented 5 years ago

Hi there is on things I want to ask . It can be a dumb question as I am new to it.

I want to run GCN on my own dataset. Is there any guide/steps how can I create my x,y,tx,ty,graph files from my own dataset ? what are the columns involved in these files etc.

I am focusing both supervised and unsupervised learning patterns.

tkipf commented 5 years ago

Duplicate of https://github.com/tkipf/gcn/issues/113

On Wed, May 8, 2019 at 8:04 PM aubutt notifications@github.com wrote:

Hi there is on things I want to ask . It can be a dumb question as I am new to it.

I want to run GCN on my own dataset. Is there any guide/steps how can I create my x,y,tx,ty,graph files from my own dataset ? what are the columns involved in these files etc.

I am focusing both supervised and unsupervised learning patterns.

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tiredDi commented 5 years ago

sorry to border you , i read the answer in 113, i still have a confusion.

  1. Is there have another code that can create the file like x/tx/graph?
  2. On the other hand , i have the data about node, edge , how can i convert them to a type of data that can be used directly in code like "ind.citeseer.allx". Is there another code used here?
tkipf commented 5 years ago

Have a look at https://github.com/tkipf/pygcn/blob/master/pygcn/utils.py#L15 for a more instructive example for how to create your own data loader.

On Wed, May 29, 2019 at 11:41 PM tiredDi notifications@github.com wrote:

sorry to border you , i read the answer in 113, i still have a confusion.

  1. Is there have another code that can create the file like x/tx/graph?
  2. On the other hand , i have the data about node, edge , how can i convert them to a type of data that can be used directly in code like "ind.citeseer.allx". Is there another code used here?

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/tkipf/gcn/issues/114?email_source=notifications&email_token=ABYBYYCSQF6BUI3RSVU77VLPX5ZKNA5CNFSM4HLT6ADKYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGODWRQLVI#issuecomment-497223125, or mute the thread https://github.com/notifications/unsubscribe-auth/ABYBYYBLZNKJKMMUGYEBIKTPX5ZKNANCNFSM4HLT6ADA .