add thumbnails for tutorials (dmlc#2695)

Co-authored-by: Jinjing Zhou <[email protected]> Co-authored-by: Minjie Wang <[email protected]>
standbyme · Feb 23, 2021 · 71d53d9 · 71d53d9
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Showing 18 changed files with 35 additions and 3 deletions.
diff --git a/docs/source/_static/blitz_1_introduction.png b/docs/source/_static/blitz_1_introduction.png
diff --git a/docs/source/_static/blitz_2_dglgraph.png b/docs/source/_static/blitz_2_dglgraph.png
diff --git a/docs/source/_static/blitz_3_message_passing.png b/docs/source/_static/blitz_3_message_passing.png
diff --git a/docs/source/_static/blitz_4_link_predict.png b/docs/source/_static/blitz_4_link_predict.png
diff --git a/docs/source/_static/blitz_5_graph_classification.png b/docs/source/_static/blitz_5_graph_classification.png
diff --git a/docs/source/_static/blitz_6_load_data.png b/docs/source/_static/blitz_6_load_data.png
diff --git a/docs/source/_static/large_L0_neighbor_sampling_overview.png b/docs/source/_static/large_L0_neighbor_sampling_overview.png
diff --git a/python/dgl/nn/pytorch/conv/cfconv.py b/python/dgl/nn/pytorch/conv/cfconv.py
@@ -134,7 +134,11 @@ def forward(self, g, node_feats, edge_feats):
             Updated node representations.
         """
         with g.local_scope():
-            g.ndata['hv'] = self.project_node(node_feats)
+            if isinstance(node_feats, tuple):
+                node_feats_src, _ = node_feats
+            else:
+                node_feats_src = node_feats
+            g.srcdata['hv'] = self.project_node(node_feats_src)
             g.edata['he'] = self.project_edge(edge_feats)
             g.update_all(fn.u_mul_e('hv', 'he', 'm'), fn.sum('m', 'h'))
-            return self.project_out(g.ndata['h'])
+            return self.project_out(g.dstdata['h'])
diff --git a/tutorials/blitz/1_introduction.py b/tutorials/blitz/1_introduction.py
@@ -215,3 +215,6 @@ def train(g, model):
 # -  :ref:`The list of datasets provided by DGL <apidata>`.
 # 
 
+
+# Thumbnail Courtesy: Stanford CS224W Notes
+# sphinx_gallery_thumbnail_path = '_static/blitz_1_introduction.png'
diff --git a/tutorials/blitz/2_dglgraph.py b/tutorials/blitz/2_dglgraph.py
@@ -225,3 +225,6 @@
 #    :func:`dgl.load_graphs`
 # 
 
+
+# Thumbnail Courtesy: Wikipedia
+# sphinx_gallery_thumbnail_path = '_static/blitz_2_dglgraph.png'
diff --git a/tutorials/blitz/3_message_passing.py b/tutorials/blitz/3_message_passing.py
@@ -353,3 +353,6 @@ def sum_udf(nodes):
 #    Code <guide-message-passing-efficient>`.
 # 
 
+
+# Thumbnail Courtesy: Representation Learning on Networks, Jure Leskovec, WWW 2018
+# sphinx_gallery_thumbnail_path = '_static/blitz_3_message_passing.png'
diff --git a/tutorials/blitz/4_link_predict.py b/tutorials/blitz/4_link_predict.py
@@ -339,3 +339,6 @@ def compute_auc(pos_score, neg_score):
     neg_score = pred(test_neg_g, h)
     print('AUC', compute_auc(pos_score, neg_score))
 
+
+# Thumbnail Courtesy: Link Prediction with Neo4j, Mark Needham
+# sphinx_gallery_thumbnail_path = '_static/blitz_4_link_predict.png'
diff --git a/tutorials/blitz/5_graph_classification.py b/tutorials/blitz/5_graph_classification.py
@@ -207,3 +207,6 @@ def forward(self, g, in_feat):
 #    for an end-to-end graph classification model.
 # 
 
+
+# Thumbnail Courtesy: DGL
+# sphinx_gallery_thumbnail_path = '_static/blitz_5_graph_classification.png'
diff --git a/tutorials/blitz/6_load_data.py b/tutorials/blitz/6_load_data.py
@@ -222,3 +222,6 @@ def __len__(self):
 graph, label = dataset[0]
 print(graph, label)
 
+
+# Thumbnail Courtesy: (Un)common Use Cases for Graph Databases, Michal Bachman
+# sphinx_gallery_thumbnail_path = '_static/blitz_6_load_data.png'
diff --git a/tutorials/large/L0_neighbor_sampling_overview.py b/tutorials/large/L0_neighbor_sampling_overview.py
@@ -113,3 +113,6 @@
 # DGL <L1_large_node_classification>`
 #
 
+
+# Thumbnail Courtesy: Understanding graph embedding methods and their applications, Mengjia Xu
+# sphinx_gallery_thumbnail_path = '_static/large_L0_neighbor_sampling_overview.png'
diff --git a/tutorials/large/L1_large_node_classification.py b/tutorials/large/L1_large_node_classification.py
@@ -334,4 +334,5 @@ def forward(self, bipartites, x):
 #
 
 
-
+# Thumbnail Courtesy: Stanford CS224W Notes
+# sphinx_gallery_thumbnail_path = '_static/blitz_1_introduction.png'
diff --git a/tutorials/large/L2_large_link_prediction.py b/tutorials/large/L2_large_link_prediction.py
@@ -364,3 +364,6 @@ def closure():
 # for link prediction with neighbor sampling.
 #
 
+
+# Thumbnail Courtesy: Link Prediction with Neo4j, Mark Needham
+# sphinx_gallery_thumbnail_path = '_static/blitz_4_link_predict.png'
diff --git a/tutorials/large/L4_message_passing.py b/tutorials/large/L4_message_passing.py
@@ -387,3 +387,6 @@ def forward(self, g, h):
             h_total = torch.cat([h_dst, h_N], dim=1)
             return self.linear(h_total)
 
+
+# Thumbnail Courtesy: Representation Learning on Networks, Jure Leskovec, WWW 2018
+# sphinx_gallery_thumbnail_path = '_static/blitz_3_message_passing.png'
Original file line number	Diff line number	Diff line change
Expand Up		@@ -334,4 +334,5 @@ def forward(self, bipartites, x):
		#



		# Thumbnail Courtesy: Stanford CS224W Notes
		# sphinx_gallery_thumbnail_path = '_static/blitz_1_introduction.png'