Deep learning has seen significant growth recently and is now applied to a wide range of
conventional use cases, including graphs. Graph data provides relational information …

Aspect-base sentiment analysis (ABSA) refers to the analysis of sentiments in users' notes
from the perspective of different aspects, which has attracted much attention in the last …

Contrastive learning (CL) is a popular learning paradigm in deep learning, which uses
contrastive principle to learn low-dimensional embeddings, and has been applied in Graph …

Graph Convolutional Networks (GCNs) have received considerable attention in the field of
artificial machine intelligence (AMI) and natural language processing research because they …

采用图神经网络模型为整个语料库构建异构图处理文本分类任务时, 存在难以泛化到新样本和
词序信息缺失的问题. 针对上述问题, 提出了一种融合双图特征和上下文语义信息的文本分类 …

Diabetic Retinopathy (DR) can lead to vision loss if the patient does not get effective
treatment based on the patient's condition. Early detection is needed to know what an …

With the development of data science, more and more machine learning technologies have
been designed to solve complicated and challenging real-world tasks containing a large …

The study in this thesis enhances information checking algorithm challenges, such as CAD
drawings comliance checking which is time-consuming and error-prone, by focusing on the …