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Improving the Level of Autism Discrimination through GraphRNN Link Prediction
This paper is based on the latter technique, which learns the edge distribution of real brain network through GraphRNN, and generates the synthetic data which has incentive effect on the discriminant model.
A Heterogeneous Graphical Model to Understand User-Level Sentiments in Social Media
Social Media has seen a tremendous growth in the last decade and is continuing to grow at a rapid pace.
Learning to Associate Words and Images Using a Large-scale Graph
In this particular problem, a user is presented with a deformed picture of a Chinese phrase and eight low-resolution images.
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