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Found 3 papers, 1 papers with code
Fine-grained Graph Learning for Multi-view Subspace Clustering
To utilize the multi-view information sufficiently, we design a specific graph learning method by introducing graph regularization and a local structure fusion pattern.
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense
In this paper, we develop deeper insights into the Mettack algorithm, which is a representative grey-box attacking method, and then we propose a gradient-based black-box attacking algorithm.
I-GCN: Robust Graph Convolutional Network via Influence Mechanism
While being able to achieve desirable performance when the perturbation rates are low, such methods are still vulnerable to high perturbation rates.
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