You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
@@ -14,7 +14,7 @@ Here we present a "Graph network with attention read and write", a simple networ
We present this network both as a novel system in of itself, but more importantly as the basis for further investigation into effective neural graph computation.
See the [full network description](https://medium.com/octavian-ai/finding-shortest-paths-with-graph-networks-807c5bbfc9c8).
Read our [extensive article about this architecture](https://medium.com/octavian-ai/finding-shortest-paths-with-graph-networks-807c5bbfc9c8).
Download the [pre-compiled YAML dataset](https://storage.googleapis.com/octavian-static/download/clevr-graph/StationShortestCount.zip) or the [fully-compiled TFRecords dataset](https://storage.googleapis.com/octavian-static/download/mac-graph/StationShortestCount.zip). Data is expected to live in input_data/processed/StationShortestCount/.
