Stanford Graph Learning Workshop

Graph Learning workshop hosted by Stanford

Graphs are emerging as an abstraction to represent complex data, such as social networks, knowledge graphs, molecular graphs, biomedical networks, as well as for modeling 3D objects, manifolds, and source code. Machine learning, especially deep representation learning, on graphs is an emerging field with a wide array of applications from protein folding and fraud detection, to drug discovery and recommender systems. This workshop will bring together leaders from academia and industry to showcase recent methodological advances Graph Neural Networks, a wide-range of applications to different domains as well as machine learning frameworks and practical challenges for large-scale training and deployment of graph-based machine learning models.The workshop will be a virtual meeting/recording of the live event hosted at Stanford, updates can be found in the link below.https://snap.stanford.edu/graphlearning-workshop/

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Stanford Graph Learning Workshop

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