Abstract: In private information retrievals (PIRs), a client retrieves an entry from a database without letting the database server know which entry is retrieved. Recently, hint-based PIRs were ...
We aim to build a pre-trained Graph Neural Network (GNN) model on molecules without human annotations or prior knowledge. Although various attempts have been proposed to overcome limitations in ...
Abstract: In this paper, we propose a novel cross-modal image-text retrieval model based on Transformer architectures. Our model leverages a dual-branch framework, consisting of an ImageTransformer ...
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