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🏢 Institute of Computing Technology, CAS

Towards Dynamic Message Passing on Graphs
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Machine Learning Deep Learning 🏢 Institute of Computing Technology, CAS
N2: A novel dynamic message-passing GNN tackles message-passing bottlenecks and high computational costs by introducing learnable pseudo-nodes and dynamic pathways in a common state space, achieving s…
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense
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AI Theory Robustness 🏢 Institute of Computing Technology, CAS
CausalDiff leverages causal inference and diffusion models to create a robust AI defense against unseen adversarial attacks, significantly outperforming state-of-the-art methods.