add gds library video

graph-data-science/graph-algorithms/graph-algorithms.adoc

@@ -22,12 +22,12 @@ They describe steps to be taken to process a graph to discover its general quali
 Neo4j Graph Data Science is a library that provides efficiently implemented, parallel versions of common graph algorithms for Neo4j 3.x and Neo4j 4.x exposed as link:/developer/cypher/[Cypher] procedures.
 It forms the core part of your link:/developer/graph-data-science[Graph Data Science platform^].
 
-Amy Hodler and Alicia Frame explain more about the library and share hands on examples in https://www.youtube.com/watch?v=ziG_oPnxB20[this talk^] from the link:/connections/graph-data-science/[Connections: Graph Data Science^] event.
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-<iframe width="560" height="315" src="https://www.youtube.com/embed/ziG_oPnxB20" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
+<iframe width="560" height="315" src="https://www.youtube.com/embed/nzBg23aTCAE" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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+Amy Hodler and Alicia Frame also explain more about the library and share hands on examples in https://www.youtube.com/watch?v=ziG_oPnxB20[this talk^] from the link:/connections/graph-data-science/[Connections: Graph Data Science^] event.
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 The library contains implementations for the following types of algorithms:
 
 * link:/docs/graph-data-science/current/algorithms/pathfinding/[Path Finding^] - these algorithms help find the shortest path or evaluate the availability and quality of routes