Merge pull request #64 from PaddlePaddle/develop

Develop

docs/source/api/pgl.contrib.heter_graph.rst → docs/source/api/pgl.heter_graph.rst

-pgl.contrib.heter\_graph module: Heterogenous Graph Storage
+pgl.heter\_graph module: Heterogenous Graph Storage
 ===============================
 
-.. automodule:: pgl.contrib.heter_graph
+.. automodule:: pgl.heter_graph
    :members:
    :undoc-members:
    :show-inheritance:

docs/source/api/pgl.contrib.heter_graph_wrapper.rst → docs/source/api/pgl.heter_graph_wrapper.rst

-pgl.contrib.heter\_graph\_wrapper module: Heterogenous Graph data holders for Paddle GNN.
+pgl.heter\_graph\_wrapper module: Heterogenous Graph data holders for Paddle GNN.
 =========================
 
-.. automodule:: pgl.contrib.heter_graph_wrapper
+.. automodule:: pgl.heter_graph_wrapper
    :members:
    :undoc-members:
    :show-inheritance:

docs/source/api/pgl.rst

@@ -9,5 +9,5 @@ API Reference
    pgl.data_loader
    pgl.utils.paddle_helper
    pgl.utils.mp_reader
-   pgl.contrib.heter_graph
-   pgl.contrib.heter_graph_wrapper
+   pgl.heter_graph
+   pgl.heter_graph_wrapper

docs/source/quick_start/md/quick_start_for_heterGraph.md

@@ -58,8 +58,8 @@ Now, we can build a heterogenous graph by using PGL.
 import paddle.fluid as fluid
 import paddle.fluid.layers as fl
 import pgl
-from pgl.contrib import heter_graph
-from pgl.contrib import heter_graph_wrapper
+from pgl import heter_graph
+from pgl import heter_graph_wrapper
 
 g = heter_graph.HeterGraph(num_nodes=num_nodes,
                             edges=edges,
@@ -160,8 +160,3 @@ for epoch in range(30):
     train_loss = exe.run(fluid.default_main_program(), feed=feed_dict, fetch_list=[loss], return_numpy=True)
     print('Epoch %d | Loss: %f'%(epoch, train_loss[0]))
 ```
-
-
-
-
-