[Release] update version (#297)

* update version; add news.md; modify contributing.md

* change urls to dmlc

Author: jermainewang

CONTRIBUTING.md

@@ -1,15 +1,27 @@
 ## Contributing to DGL
 
-If you are interested in contributing to DGL, your contributions will fall
-into two categories:
-1. You want to propose a new Feature and implement it
-    - post about your intended feature, and we shall discuss the design and
-    implementation. Once we agree that the plan looks good, go ahead and implement it.
-2. You want to implement a feature or bug-fix for an outstanding issue
-    - Look at the outstanding issues
-    - Especially look at the Low Priority and Medium Priority issues
-    - Pick an issue and comment on the task that you want to work on this feature
-    - If you need more context on a particular issue, please ask and we shall provide.
-
-Once you finish implementing a feature or bugfix, please send a Pull Request.
+Contribution is always welcomed. A good starting place is the roadmap issue, where
+you can find our current milestones. All contributions must go through pull requests
+and be reviewed by the committors.
 
+For document improvement, simply PR the change and prepend the title with `[Doc]`.
+
+For new features, we suggest first create an issue using the feature request template.
+Follow the template to describe the features you want to implement and your plans.
+We also suggest pick the features from the roadmap issue because they are more likely
+to be incoporated in the next release.
+
+For bug fix, we suggest first create an issue using the bug report template if the
+bug has not been reported yet. Please reply the issue that you'd like to help. Once
+the task is assigned, make the change in your fork and PR the codes. Remember to
+also refer to the issue where the bug is reported.
+
+Once your PR is merged, congratulation, you are now an contributor to the DGL project.
+We will put your name in the list below and also on our [website](https://www.dgl.ai/ack).
+
+Contributors
+------------
+[Yizhi Liu](https://github.com/yzhliu)
+[Yifei Ma](https://github.com/yifeim)
+Hao Jin
+[Sheng Zha](https://github.com/szha)

NEWS.md

@@ -0,0 +1,34 @@
+DGL release and change logs
+==========
+
+Refer to the roadmap issue for the on-going versions and features.
+
+0.1.3
+-----
+Bug fix
+* Compatible with Pytorch v1.0
+* Bug fix in networkx graph conversion.
+
+0.1.2
+-----
+First open release.
+* Basic graph APIs.
+* Basic message passing APIs.
+* Pytorch backend.
+* MXNet backend.
+* Optimization using SPMV.
+* Model examples w/ Pytorch:
+  - GCN
+  - GAT
+  - JTNN
+  - DGMG
+  - Capsule
+  - LGNN
+  - RGCN
+  - Transformer
+  - TreeLSTM
+* Model examples w/ MXNet:
+  - GCN
+  - GAT
+  - RGCN
+  - SSE

conda/dgl/meta.yaml

@@ -1,10 +1,10 @@
 package:
   name: dgl
-  version: "0.1.2"
+  version: "0.1.3"
 
 source:
-  git_rev: 0.1.2
-  git_url: https://github.com/jermainewang/dgl.git
+  git_rev: 0.1.x
+  git_url: https://github.com/dmlc/dgl.git
 
 requirements:
   build:
@@ -21,5 +21,5 @@ requirements:
     - networkx
 
 about:
-  home: https://github.com/jermainewang/dgl.git
+  home: https://github.com/dmlc/dgl.git
   license_file: ../../LICENSE

include/dgl/runtime/c_runtime_api.h

@@ -33,7 +33,7 @@
 #endif
 
 // DGL version
-#define DGL_VERSION "0.1.2"
+#define DGL_VERSION "0.1.3"
 
 
 // DGL Runtime is DLPack compatible.

python/dgl/_ffi/libinfo.py

@@ -87,4 +87,4 @@ def find_lib_path(name=None, search_path=None, optional=False):
 # We use the version of the incoming release for code
 # that is under development.
 # The following line is set by dgl/python/update_version.py
-__version__ = "0.1.2"
+__version__ = "0.1.3"

python/setup.py

@@ -72,7 +72,7 @@ def get_lib_path():
         'scipy>=1.1.0',
         'networkx>=2.1',
     ],
-    url='https://github.com/jermainewang/dgl',
+    url='https://github.com/dmlc/dgl',
     distclass=BinaryDistribution,
     classifiers=[
         'Development Status :: 3 - Alpha',

python/update_version.py

@@ -11,7 +11,7 @@
 # current version
 # We use the version of the incoming release for code
 # that is under development
-__version__ = "0.1.2"
+__version__ = "0.1.3"
 
 # Implementations
 def update(file_name, pattern, repl):

tutorials/models/1_gnn/4_rgcn.py

@@ -56,7 +56,7 @@
 #
 # This tutorial will focus on the first task to show how to generate entity
 # representation. `Complete
-# code <https://github.com/jermainewang/dgl/tree/rgcn/examples/pytorch/rgcn>`_
+# code <https://github.com/dmlc/dgl/tree/rgcn/examples/pytorch/rgcn>`_
 # for both tasks can be found in DGL's github repository.
 #
 # Key ideas of R-GCN
@@ -356,4 +356,4 @@ def forward(self, g):
 # The implementation is similar to the above but with an extra DistMult layer
 # stacked on top of the R-GCN layers. You may find the complete
 # implementation of link prediction with R-GCN in our `example
-# code <https://github.com/jermainewang/dgl/blob/master/examples/pytorch/rgcn/link_predict.py>`_.
+# code <https://github.com/dmlc/dgl/blob/master/examples/pytorch/rgcn/link_predict.py>`_.

tutorials/models/1_gnn/6_line_graph.py

@@ -610,7 +610,7 @@ def collate_fn(batch):
 
 ######################################################################################
 # You can check out the complete code
-# `here <https://github.com/jermainewang/dgl/tree/master/examples/pytorch/line_graph>`_.
+# `here <https://github.com/dmlc/dgl/tree/master/examples/pytorch/line_graph>`_.
 # 
 # What's the business with :math:`\{Pm, Pd\}`?
 # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

tutorials/models/1_gnn/8_sse_mx.py

@@ -540,7 +540,7 @@ def test(g, test_nodes, steady_state_operator, predictor):
 # scaled SSE to a graph with 50 million nodes and 150 million edges in a
 # single P3.8x large instance and one epoch only takes about 160 seconds.
 #
-# See full examples `here <https://github.com/jermainewang/dgl/tree/master/examples/mxnet/sse>`_.
+# See full examples `here <https://github.com/dmlc/dgl/tree/master/examples/mxnet/sse>`_.
 #
 # .. |image0| image:: https://s3.us-east-2.amazonaws.com/dgl.ai/tutorial/img/floodfill-paths.gif
 # .. |image1| image:: https://s3.us-east-2.amazonaws.com/dgl.ai/tutorial/img/neighbor-sampling.gif