chore: import upstream snapshot with attribution

2026-07-13 13:35:51 +08:00
commit c36a561cd8
2172 changed files with 455595 additions and 0 deletions
@@ -0,0 +1,16 @@
+.. _tutorials2-index:
+
+Batching many small graphs
+-------------------------------
+
+* **Tree-LSTM** `[paper] <https://arxiv.org/abs/1503.00075>`__ `[tutorial]
+  <2_small_graph/3_tree-lstm.html>`__ `[PyTorch code]
+  <https://github.com/dmlc/dgl/blob/master/examples/pytorch/tree_lstm>`__:
+  Sentences have inherent structures that are thrown
+  away by treating them simply as sequences. Tree-LSTM is a powerful model
+  that learns the representation by using prior syntactic structures such as a parse-tree.
+  The challenge in training is that simply by padding
+  a sentence to the maximum length no longer works. Trees of different
+  sentences have different sizes and topologies. DGL solves this problem by
+  adding the trees to a bigger container graph, and then using message-passing
+  to explore maximum parallelism. Batching is a key API for this.