Project
Open Academic Graph
Open Academic Graph (OAG) is a large knowledge graph unifying two billion-scale academic graphs: Microsoft Academic Graph (MAG) and AMiner. In mid 2017, we published OAG v1, which contains 166,192,182 papers from MAG and 154,771,162 papers from AMiner…
Webinar
Foundations of causal inference and its impacts on machine learning webinar
In this webinar, join Microsoft researchers Amit Sharma and Emre Kıcıman to learn about the fundamentals of causal inference. You will learn how a target question of cause and effect can be captured in a…
Publication
Large-Scale Intelligent Microservices
Event
Accessible Computer Science Education Fall Workshop
The Accessible Learning Fall Workshop will be three intensive days of talks, discussions and planning for new research dedicated to improving learning experiences for people with disabilities. At this event, we will build a research…