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Found 3 papers, 1 papers with code
Robust Subgraph Learning by Monitoring Early Training Representations
However, their vulnerability to adversarial attacks, particularly through susceptible nodes, poses a challenge in decision-making.
FogGuard: guarding YOLO against fog using perceptual loss
In this paper, we present a novel fog-aware object detection network called FogGuard, designed to address the challenges posed by foggy weather conditions.
Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures
To gain a theoretical perspective on the supervised summarization problem itself, we first formulate it in terms of maximizing the Shannon mutual information between the summarized graph and the class label.
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