https://blog.twitter.com/engineering/en_us/topics/insights/2022/graph-machine-learning-with-missing-node-features
Graph machine learning with missing node features
Emanuele Rossi
Maria Gorinova
Thursday, 17 March 2022
“…GNNs typically run under the assumption of a full set of features available for all nodes. In real-world scenarios, features are often only partially available… feature propagation is an efficient and scalable approach for handling missing features in graph machine learning…”