<ul><li>Graph Neural Networks (GNNs) provide a more robust alternative to traditional hashing techniques for image similarity detection.</li><li>GNNs model image relationships as a graph and propagate similarity information through message passing.</li><li>GNNs understand relationships beyond pixels, making similarity detection more robust in real-world scenarios.</li><li>GNN-based approaches can be used for applications like content moderation, visual search, recommendation engines, and AI-driven media management.</li></ul>

Graph Neural Networks for Image Similarity: An Alternative to Hashing?

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