Criteo AI Lab is excited to be presenting Graph Machine Learning in Industry. Please join us on Thursday, September 23rd, at 17:00 Paris time.
Registration is now open: https://sites.google.com/view/graph-ml-in-industry/home Many problems in data mining, machine learning, and computer science can be formulated as graph problems. From modelling relationships in social networks and recommender systems to identifying the strengths of molecule reactions, graphs are a natural way to represent certain systems. Research into this area has recently demonstrated the viability of this approach with many recent success stories. At the same time, research and deployment of graph machine learning solutions in an industrial setting present new and unique challenges. These include training the models at scale, dealing with heterogeneous data format, storing and updating large graphs, identifying new applications, among many others. In this spirit, the goal of Graph Machine Learning in Industry workshop is to gather the community of graph practitioners in the industry and to present recent ML solutions that are successful in solving real-world problems. Speakers: * James Zhang (AWS) * Charles Tapley Hoyt (Harvard Medical School) * Anton Tsitsulin (Google) * Cheng Ye (AstraZeneca) * Rocío Mercado (MIT) * Lingfei Wu (JD.com)
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