This study designs a Text-Aware Patch Selection module, which dynamically constructs patch-level regions for fine-grained excavation based on informative token selection, effectively bypassing the need for bounding boxes, and introduces a Cross-Grained Alignment module to learn modality-shared features across global an...
Jun-Lin Jiang, D. Vuković, Jie Cao et al.· ACM Transactions on Multimed...· 0 citations
This survey presents the first comprehensive and systematic review of Differentially Private Graph Learning (DPGL), and organizes existing DPGL methods into four categories based on the granularity of privacy protection, namely node-level, edge-level, graph-level, and node-level.
Li Sun, Long-Zhu He, Ming Li et al.· Transactions on Graph Intell...· 1 citation
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