Revisiting Semi-Supervised Learning with Graph Embeddings

Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov

Abstract: We present a semi-supervised learning framework based on graph embeddings. Given a graph between instances, we train an embedding for each instance to jointly predict the class label and the neighb...