Transferring Robustness for Graph Neural Network Against Poisoning Attacks

20 Aug 2019Xianfeng TangYandong LiYiwei SunHuaxiu YaoPrasenjit MitraSuhang Wang

Graph neural networks (GNNs) are widely used in many applications. However, their robustness against adversarial attacks is criticized... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Node Classification Pubmed PA-GNN Accuracy 82.92% # 8

Methods used in the Paper


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