Encode multi-lingual text properties in Amazon Neptune to train predictive models

For more details about the solution, see the GitHub repo. We recommend using the text encoders on your graph data to meet your requirements. You can just choose an encoder name and set some encoder attributes, while keeping the GNN model unchanged. Jiani Zhang is an applied scientist of AWS AI Research and Education (AIRE). She works on solving real-world applications using machine learning algorithms, especially natural language and graph related problems.