A Unified Prompt for Enhancing Heterogeneous Graph Pre-training via Edge-based Message Passing
Fengyu Yan, Xiaobao Wang, Qian-Xi Tang et al.
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Collateral Damage Constrained Backdoor Attacks on Graph Neural Networks
Di Jin, Zechuan Zhang, Bingdao Feng et al.
· 0 citations
2025
LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks
LoSplit is proposed, the first training-time defense framework in graph that leverages this early-stage loss drift to accurately split target nodes, and dynamically selects epochs with maximal loss divergence, clusters target nodes via Gaussian Mixture Models, and applies a Decoupling-Forgetting strategy to break the association between target nodes and malicious label.
Di Jin, Yuxiang Zhang, Bingdao Feng et al.
· Neural Information Processin... · 4 citations