Post #281

Graph ML at Data Fest 2020 Day 1 was a pleasant surprise: people with different background came, watched videos, and asked questions. Here are 5 videos of day 1: 1. Opening remarks: Graph Machine Learning, Sergey Ivanov, Criteo, France (where I broadly talk about what is GML, what are the best resources, what's the community, etc.); 2. Graph-Based Nearest Neighbor Search: Practice and Theory, Liudmila Prokhorenkova, Yandex, Russia (where she spoke about her k-NN on graphs, HNSW, theory and her ICML 20 work); 3. Graphical Models for Tensor Networks and Machine Learning, Roman Schutski, Skoltech, Russia (where he spoke about graphical models, treewidth, tensor decomposition); 4. Unsupervised Graph Representations, Anton Tsistulin, University of Bonn & Google, Germany (where he spoke about all popular node embeddings methods and what their pros and cons); 5. Placing Knowledge Graphs in Graph ML, Michael Galkin, TU Dresden, Germany (it's all you need to know about knowledge graphs if you don't know what they are). On day 2, tomorrow, we will have 5 more videos, which would be about applications of graphs. Please, join us tomorrow at https://spatial.chat/s/ods at 12pm (Moscow time).