GSE-METP uses an LSTM-based state embedding and multi-instance DDPG training to degrade link-prediction accuracy in dynamic graphs using far fewer queries than the prior SAC attack.
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Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method
GSE-METP uses an LSTM-based state embedding and multi-instance DDPG training to degrade link-prediction accuracy in dynamic graphs using far fewer queries than the prior SAC attack.