From 0d9c4a739261c9fd86736af95406d6004de4833d Mon Sep 17 00:00:00 2001 From: William L Hamilton Date: Sat, 16 Sep 2017 14:34:13 -0700 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index d2ac546..a4562fe 100644 --- a/README.md +++ b/README.md @@ -39,7 +39,7 @@ Recent versions of TensorFlow, numpy, scipy, and networkx are required. The example_unsupervised.sh and example_supervised.sh files contain example usages of the code, which use the unsupervised and supervised variants of GraphSage, respectively. If your benchmark/task does not require generalizing to unseen data, we recommend you try setting the "--identity_dim" flag to a value in the range [64,256]. -This flag will make the model use embed unique node ids as attributes, which will increase the runtime but also potentially increase the performance. +This flag will make the model embed unique node ids as attributes, which will increase the runtime and number of parameters but also potentially increase the performance. Note that you should set this flag and *not* try to pass dense one-hot vectors as features (due to sparsity). The "dimension" of identity features specifies how many parameters there are per node in the sparse identity-feature lookup table.