Recent studies have shown that Graph Transformers (GTs) can be effective for specific graph-level tasks. However, when it comes to node classification, training GTs remains challenging, especially in semi-supervised s...
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Promotional Short Message Service (SMS) messages, which provide frequent updates about deals and discounts to consumers, are crucial in developing countries like Sri Lanka, as they help alleviate financial pressure du...
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While deep learning techniques have shown promising performance in the Major Depressive Disorder (MDD) detection task, they still face limitations in real-world scenarios. Specifically, given the data scarcity, some e...
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Mobile edge computing (MEC) provides high-quality network service to mobile users. In a MEC network, the placement of edge servers not only affects the service experience of users, but also has a great influence on th...
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The cognitive decision-making process in the ultimatum game (UG) paradigm consists of three stages: 1) option evaluation stage;2) action selection and execution stage;3) outcome evaluation stage. EEG correlation betwe...
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The focus of this paper is on Few-Shot Counting and Detection (FSCD), a task that involves counting and localizing target objects based on a few exemplar bounding boxes. In particular, we address two major challenges ...
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The surging popularity of online movie databases has created a challenge for viewers: choosing a film from a massive library can be overwhelming. In this paper, it proposes to design a new hybrid movie recommendation ...
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The contribution main from this research is modularity and better processing time in detecting community by using K-1 coloring. Testing performed on transaction datasets remittance on P2P platforms where the Louvain C...
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Most previous methods for continuous image-to-image translation resorted to binary attributes with restrictive description ability and thus cannot achieve satisfactory performance. Some works proposed to use fine-grai...
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The goal of this project is to draw a deeper understanding of the subjective nature behind online product reviews, largely by examining a large dataset received from Amazon that contains numerous star ratings and comm...
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