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Graph Neural Networks: Theory and Applications
With the introduction of Deep learning, there has been a global revolution in technology which has been making real impact in our modern society. One way to look at Deep learning is, it’s all about Representational Learning. One such phenomena which has taken the AI world by a storm is Graph Representational Learning. With the introduction of Graph Neural Networks, it’s been made possible to find eloquent way to represent graph structures which are machine learning friendly. The impact of Graph Representational Learning has seen many applications in the real world, from social media link prediction to drug discovery. As the world of AI takes its step into a new era, it is a duty of ours to adapt and learn these new tools. This workshop will serve as an introduction to Graph Neural Networks and their Applications. We hope this workshop will open yet another path in your quest for knowledge.