Wei Jin

Maximum Entropy Model based on Feature Extraction for Sentiment Detection of Text

2016

The rapid development of social media services has facilitated the communication of opinions through online news, blogs, post bar, microblogs/tweets, and so forth. This article concentrates on the mining of emotions evoked by newmaterials. Compared …

Node Similarity Preserving Graph Convolutional Networks

2020 · arXiv (Cornell University)

Graph Neural Networks (GNNs) have achieved tremendous success in various real-world applications due to their strong ability in graph representation learning. GNNs explore the graph structure and node features by aggregating and transforming information within …

Enhancing Graph Representations Learning with Decorrelated Propagation

2023

In recent years, graph neural networks (GNNs) have been widely used in many domains due to their powerful capability in representation learning on graph-structured data. While a majority of extant studies focus on mitigating the …