Revisiting Semi-Supervised Learning with Graph Embeddings

29 Mar 2016Zhilin YangWilliam W. CohenRuslan Salakhutdinov

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 neighborhood context in the graph... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Node Classification Citeseer Planetoid* Accuracy 64.7% # 16
Node Classification Cora Planetoid* Accuracy 75.7% # 17
Document Classification Cora Planetoid* Accuracy 75.7% # 6
Node Classification NELL Planetoid* Accuracy 61.9% # 2
Node Classification Pubmed Planetoid* Accuracy 77.2% # 10