Data Science Affiliates Program - Graph Learning Workshop

Stanford Computer Science Affiliates Team

This is a graph workshop as a part of the Data Science Affiliates Program.

Paul Brest Hall

**Everyone should register for tickets, even online attendees, as that is how we will send the live stream link to you.**Over the past few years, graphs have emerged as one of the most important and useful abstractions for representing complex data, including social networks, knowledge graphs, financial transactions / purchasing behavior, supply chain networks, molecular graphs, biomedical networks, as well as for modeling 3D objects, manifolds, and source code. Deep representation learning on graphs is an emerging field with a wide array of applications, ranging from protein folding and fraud detection, to drug discovery and recommender systems.In the Stanford Graph Learning Workshop, we will bring together thought leaders from academia and industry to showcase the most cutting edge and recent methodological advances in Graph Neural Networks. The workshop will present new developments in the leading graph machine learning framework and a wide range of graph machine learning applications to different domains. Additionally, the workshop will discuss practical challenges for large-scale training and deployment of graph-based machine learning models.The agenda for the event can be found here: <a href="https://datascience.stanford.edu/events/affiliate-program-event/stanford-graph-learning-workshop-2022" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://datascience.stanford.edu/events/affiliate-program-event/stanford-graph-learning-workshop-2022</a>We will send out the parking link to those who are coming in person, and the video link to the live streaming attendees, at a later time.

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Data Science Affiliates Program - Graph Learning Workshop

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Data Science Affiliates Program - Graph Learning Workshop

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