In fashion e-commerce, predicting item compatibility using visual features remains a
significant challenge. Current recommendation systems often struggle to incorporate high …

Deep neural networks enable a sentence to be transformed into different multimodalities
such as a token sequence representation (a one-dimensional semantic representation) or a …

The task of relation extraction in natural language processing is to identify the relation
between two specified entities in a sentence. However, the existing model methods do not …

Abstract The conventional Relation Extraction (RE) task involves identifying whether
relations exist between two entities in a given sentence and determining their relation types …

Relationship extraction is one of the important tasks of constructing knowledge graph. In
recent years, many scholars have introduced external information other than entities into …

Network risk assessment should include the impact of the relationship between
vulnerabilities, in order to conduct a more in-depth and comprehensive assessment of …

Stock price prediction generates interesting outputs for investors. In recent years, stock
technical indicators (STI) have played an important role in stock price prediction. However …

Recently, the focus of cancer drug discovery has shifted towards develo** targeted drugs
that specifically target deregulated proteins in cancer tissues. Despite extensive efforts to …

The modeling and prediction of stock prices is the core work in securities investment, and it
is of enormous significance to reducing decision-making risks and improving investment …

The modeling and prediction of stock prices is the core work in securities investment, and it
is of enormous significance to reducing decision-making risks and improving investment …