Biography
Alex Samylkin is a Principal Software Engineer in Microsoft Ads Marketplace team, where he builds training and evaluation infrastructures to productionize large scale deep learning models. Prior to joining Microsoft, he worked at Facebook and Uber with the focus on developer experience. He received PhD in Applied Mathematics from Keldysh Institure of Applied Mathematics in Moscow, Russia.
Talks
KGC 2022
2022 Talk: DeepGNN, A Framework For Training Machine Learning Models On Large Scale Graph Data
DeepGNN is framework used internally at LinkedIn and Microsoft for training ML models on large graphs. The biggest challenge to our data scientists is to scale up GNNs to massive graphs with billions of nodes and edges. To address this challenge, we developed DeepGNN framework. It allows training models on large datasets by serving the graph in a distributed fashion with graph engine servers. In this talk, we will highlight design and strengths of DeepGNN, such as efficient memory layout, sampling, and support for both PyTorch and TensorFlow.
Speaking at KGC 2027? See the agenda