Link Prediction with Neo4j

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^^^Timezone: Pacific Standard Time (SFO)

See below for other time zones · Online, CA

How to find us

https://www.youtube.com/watch?v=O8waU4Vhcrs

Details

Link prediction explores the problem of predicting new relationships in a graph based on the topology that already exists.

This has been an area of research for many years, and in the last month we've introduced link prediction algorithms to the Neo4j Graph Algorithms library.

In this session Amy and Mark will explain the problem in more detail, describe the approaches that can be taken, and the challenges that have to be addressed.

We'll finish by going through a worked example showing how to apply these approaches using Graph Algorithms and the popular sciki-learn machine learning library.

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YOUTUBE LIVE LINK:
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We'll be hosting this session on YouTube live:
https://www.youtube.com/watch?v=5tuWnq_18Qw

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ABOUT THE SPEAKERS
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Mark Needham
Mark Needham is a graph advocate and developer relations engineer at Neo4j.

As a developer relations engineer, Mark helps users embrace graph data and Neo4j, building sophisticated solutions to challenging data problems. Mark previously worked in engineering on the clustering team, helping to build the Causal Clustering feature released in Neo4j 3.1. Mark writes about his experiences of being a graphista on a popular blog at markhneedham.com. He tweets at @markhneedham.

Amy Hodler
Amy manages the Neo4j graph analytics programs and marketing. She loves seeing how our ecosystem uses graph analytics to reveal structures within real-world networks and infer dynamic behavior.

In her career, Amy has consistently helped teams break into new markets at startups and large companies including EDS, Microsoft and Hewlett-Packard (HP). She most recently comes from Cray Inc., where she was the analytics and artificial intelligence market manager.

Amy has a love for science and art with an extreme fascination for complexity science and graph theory. When the weather is good, you’re likely to find her cycling the passes in beautiful Eastern Washington.

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ONLINE DISCUSSIONS
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We'll be taking questions live during the session, but if you have any questions before or after be sure to post them in the project's thread in the Neo4j Community Site (https://community.neo4j.com/t/neo4j-online-meetup-desktop-graph-analytics-for-the-throne/5436).

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TIME
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09:00 PDT (UTC - 7 hours)
12:00 EDT (UTC - 4 hours)
16:00 UTC
16:00 GMT (UTC + 00 hours)
17:00 CET (UTC + 1 hours)

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