diff --git a/CHANGELOG.md b/CHANGELOG.md
index 33a4190fd403..d42dff927c48 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -5,6 +5,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ## [2.2.0] - 2022-MM-DD
 ### Added
+- Added a "Link Prediction on MovieLens" Colab notebook ([#5823](https://github.com/pyg-team/pytorch_geometric/pull/5823))
 - Added custom `sampler` support in `LightningDataModule` ([#5820](https://github.com/pyg-team/pytorch_geometric/pull/5820))
 - Added a `return_semantic_attention_weights` argument `HANConv` ([#5787](https://github.com/pyg-team/pytorch_geometric/pull/5787))
 - Added `disjoint` argument to `NeighborLoader` and `LinkNeighborLoader`  ([#5775](https://github.com/pyg-team/pytorch_geometric/pull/5775))
diff --git a/docs/source/notes/colabs.rst b/docs/source/notes/colabs.rst
index e9cd58c17883..b4ff75a6a9d6 100644
--- a/docs/source/notes/colabs.rst
+++ b/docs/source/notes/colabs.rst
@@ -11,7 +11,7 @@ We have prepared a list of colab notebooks that practically introduces you to th
 6. `Explaining GNN Model Predictions using Captum <https://colab.research.google.com/drive/1fLJbFPz0yMCQg81DdCP5I8jXw9LoggKO?usp=sharing>`__
 7. `Customizing Aggregations within Message Passing <https://colab.research.google.com/drive/1KKw-VUDQuHhMo7sCd7ZaRROza3leBjRR?usp=sharing>`__
 8. `Node Classification with Graph Neural Networks Instrumented with Weights and Biases Logging and Sweeps <https://colab.research.google.com/github/wandb/examples/blob/master/colabs/pyg/8_Node_Classification_(with_W&B).ipynb>`__
-9. `Link Prediction on IMDB <https://colab.research.google.com/drive/1xpzn1Nvai1ygd_P5Yambc_oe4VBPK_ZT?usp=sharing>`__
+9. `Link Prediction on MovieLens <https://colab.research.google.com/drive/1xpzn1Nvai1ygd_P5Yambc_oe4VBPK_ZT?usp=sharing>`__
 
 All colab notebooks are released under the MIT license.