Abstract Knowledge graph completion aims to infer the missing links of new elements,
however, the missing links often lie in sparse regions of the graph. Primary subgraph-based …

In the financial market, the volatility and complexity of stock prices make accurately
predicting stock trends a highly challenging task. Traditional stock prediction methods often …

To solve the problem of low detection accuracy of deep learning targets for crack detection
in complex backgrounds, The objective of this study is to propose a fusion (CBAM) attention …

The extensive spread of sarcasm on social media has attracted great attention to sarcasm
detection. Topic-oriented sarcasm detection aims to determine the sarcastic tendency of a …

Abstract Recent advances in Semantic IoT data integration have highlighted the importance
of multimodal fusion in emotion recognition systems. Human emotions, formed through …

In the context of the close integration of computer network technology and daily life, big data
network security faces many challenges. With its powerful information processing ability, this …