The Neo4j community has released several new resources and content in the first week of 2019. Joe Depeau presented a webinar on using Neo4j for anti-money laundering investigations, which demonstrated how to use the database to help solve common problems in AML investigations. Will Lyon replicated GitHub's GraphQL API using neo4j-graphql.js and data exported via the download-all-of-your-GitHub-data feature. David Mack shared resources and approaches to get started with machine learning on graphs. Dan McCreary summarized the state of knowledge graphs in 2018 and looked forward to the coming year, covering topics such as Graph ML, custom graph hardware, and Google DeepMind's paper on Graph ML. The community also featured a member spotlight on Tim Hanssen, founder at Prepr & Co-founder Syncable, who has presented about his project at local meetups and recently presented Large-Scale Real-Time Recommendations with Neo4j at GraphConnect NYC 2018.