Large-Scale Learnable Graph Convolutional Networks

12 Aug 2018Hongyang GaoZhengyang WangShuiwang Ji

Convolutional neural networks (CNNs) have achieved great success on grid-like data such as images, but face tremendous challenges in learning from more generic data such as graphs. In CNNs, the trainable local filters enable the automatic extraction of high-level features... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Node Classification Citeseer LGCN sub Accuracy 73.0% # 1
Node Classification Cora LGCN sub Accuracy 83.30% # 1
Document Classification Cora LGCN Accuracy 83.3% # 2
Node Classification Pubmed LGCN sub Accuracy 79.50% # 2