update links to readthedoc

pyg-team · Jun 29, 2019 · cee6ba8 · cee6ba8
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diff --git a/README.md b/README.md
diff --git a/docs/source/notes/create_dataset.rst b/docs/source/notes/create_dataset.rst
@@ -1,7 +1,7 @@
 Creating Your Own Datasets
 ==========================
 
-Although `PyTorch Geometric <https://github.com/rusty1s/pytorch_geometric>`_ already contains a lot of useful datasets, you may wish to create your own dataset with self-recorded or non-publicly available data.
+Although PyTorch Geometric already contains a lot of useful datasets, you may wish to create your own dataset with self-recorded or non-publicly available data.
 
 Implementing datasets by yourself is straightforward and you may want to take a look at the source code to find out how the various datasets are implemented.
 However, we give a brief introduction on what is needed to setup your own dataset.

diff --git a/docs/source/notes/installation.rst b/docs/source/notes/installation.rst
@@ -1,7 +1,7 @@
 Installation
 ============
 
-We have outsourced a lot of functionality of `PyTorch Geometric <https://github.com/rusty1s/pytorch_geometric>`_ to other packages, which needs to be installed in advance.
+We have outsourced a lot of functionality of PyTorch Geometric to other packages, which needs to be installed in advance.
 These packages come with their own CPU and GPU kernel implementations based on the newly introduced `C++/CUDA extensions <https://github.com/pytorch/extension-cpp/>`_ in PyTorch 0.4.0.
 
 .. note::
@@ -79,7 +79,7 @@ Please follow the steps below for a successful installation:
 
 In rare cases, CUDA or Python path problems can prevent a successful installation.
 ``pip`` may even signal a successful installation, but runtime errors complain about missing modules, *.e.g.*, ``No module named 'torch_*.*_cuda'``, or execution simply crashes with ``Segmentation fault (core dumped)``.
-We collected a lot of common installation errors in the `Frequently Asked Questions <https://rusty1s.github.io/pytorch_geometric/build/html/notes/installation.html#frequently-asked-questions>`_ subsection.
+We collected a lot of common installation errors in the `Frequently Asked Questions <https://pytorch-geometric.readthedocs.io/en/latest/notes/installation.html#frequently-asked-questions>`_ subsection.
 In case the FAQ does not help you in solving your problem, please create an `issue <https://github.com/rusty1s/pytorch_geometric/issues>`_.
 You should additionally verify that your CUDA is set up correctly by following the official `installation guide <https://docs.nvidia.com/cuda/index.html>`_, and that the `official extension example <https://github.com/pytorch/extension-cpp>`_ runs on your machine.
 

diff --git a/docs/source/notes/introduction.rst b/docs/source/notes/introduction.rst
@@ -1,7 +1,7 @@
 Introduction by Example
 =======================
 
-We shortly introduce the fundamental concepts of `PyTorch Geometric <https://github.com/rusty1s/pytorch_geometric>`_ through self-contained examples.
+We shortly introduce the fundamental concepts of PyTorch Geometric through self-contained examples.
 At its core, PyTorch Geometric provides the following main features:
 
 .. contents::
@@ -282,7 +282,7 @@ You can use it to, *e.g.*, average node features in the node dimension for each
         x.size()
         >>> torch.Size([32, 21])
 
-You can learn more about scatter operations in the `documentation <http://rusty1s.github.io/pytorch_scatter>`_ of ``torch_scatter``.
+You can learn more about scatter operations in the `documentation <https://pytorch-scatter.readthedocs.io>`_ of ``torch_scatter``.
 
 Data Transforms
 ---------------

diff --git a/torch_geometric/data/dataset.py b/torch_geometric/data/dataset.py
@@ -18,7 +18,7 @@ def files_exist(files):
 
 class Dataset(torch.utils.data.Dataset):
     r"""Dataset base class for creating graph datasets.
-    See `here <https://rusty1s.github.io/pytorch_geometric/build/html/notes/
+    See `here <https://pytorch-geometric.readthedocs.io/en/latest/notes/
     create_dataset.html>`__ for the accompanying tutorial.
 
     Args:

diff --git a/torch_geometric/data/in_memory_dataset.py b/torch_geometric/data/in_memory_dataset.py
@@ -7,7 +7,7 @@
 class InMemoryDataset(Dataset):
     r"""Dataset base class for creating graph datasets which fit completely
     into memory.
-    See `here <https://rusty1s.github.io/pytorch_geometric/build/html/notes/
+    See `here <https://pytorch-geometric.readthedocs.io/en/latest/notes/
     create_dataset.html#creating-in-memory-datasets>`__ for the accompanying
     tutorial.
 

diff --git a/torch_geometric/nn/conv/message_passing.py b/torch_geometric/nn/conv/message_passing.py
@@ -26,7 +26,7 @@ class MessagePassing(torch.nn.Module):
     function, *e.g.*, sum, mean or max, and :math:`\gamma_{\mathbf{\Theta}}`
     and :math:`\phi_{\mathbf{\Theta}}` denote differentiable functions such as
     MLPs.
-    See `here <https://rusty1s.github.io/pytorch_geometric/build/html/notes/
+    See `here <https://pytorch-geometric.readthedocs.io/en/latest/notes/
     create_gnn.html>`__ for the accompanying tutorial.
 
     Args: