Post #279

Graph ML at Data Fest 2020 This year, together with @IggiSv9t, I organize a track at Data Fest 2020. It's like a workshop at the conference, but more informal. We will have videos from our amazing speakers and also networking, where you can speak to me, @IggiSv9t, speakers, or other people who are interested in graph machine learning. Besides our track there will be many other interesting tracks on all aspects of ML and DS (interpretability, antifraud, ML in healthcare, and 40 more tracks!). It will be this weekend, 19-20 September. You need to be registered (for free) at https://fest.ai/2020/. Our videos: Day 1 (Saturday) 1. Opening remarks: Graph Machine Learning, Sergey Ivanov, Criteo, France 2. Graph-Based Nearest Neighbor Search: Practice and Theory, Liudmila Prokhorenkova, Yandex, Russia 3. Graphical Models for Tensor Networks and Machine Learning, Roman Schutski, Skoltech, Russia 4. Unsupervised Graph Representations, Anton Tsistulin, University of Bonn & Google, Germany 5. Placing Knowledge Graphs in Graph ML, Michael Galkin, TU Dresden, Germany Day 2 (Sunday) 1. Large Graph Visualization Tools and Approaches, Sviatoslav Kovalev, Samokat, Russia 2. Business Transformation as Graph Problems, Vadim Safronov, Key Points, Portugal 3. Scene Graph Generation from Images, Boris Knyazev, University of Guelph & Vector Institute, Canada 4. AutoGraph: Graphs Meet AutoML, Denis Vorotinsev, Oura, Finland 5. Link Prediction with Graph Neural Networks, Maxim Panov, Skoltech, Russia See you there!