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20212024
most citedHierarchical information matters: Text classification via tree based graph neural network

3 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SI2024

Rumor Detection on Social Media with Temporal Propagation Structure Optimization

Xingyu Peng, Junran Wu, Ruomei Liu +1

Traditional methods for detecting rumors on social media primarily focus on analyzing textual content, often struggling to capture the complexity of online interactions. Recent res…

cs.SI2023★ 2 cited

Detecting Political Opinions in Tweets through Bipartite Graph Analysis: A Skip Aggregation Graph Convolution Approach

Xingyu Peng, Zhenkun Zhou, Chong Zhang +1

Public opinion is a crucial factor in shaping political decision-making. Nowadays, social media has become an essential platform for individuals to engage in political discussions…

cs.SI2023

DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks

Chong Zhang, Zhenkun Zhou, Xingyu Peng +1

Given the development and abundance of social media, studying the stance of social media users is a challenging and pressing issue. Social media users express their stance by posti…

cs.CY2023★ 2 cited

When Cyber Aggression Prediction Meets BERT on Social Media

Zhenkun Zhou, Mengli Yu, Yuxin He +1

Increasingly, cyber aggression becomes the prevalent phenomenon that erodes the social media environment. However, due to subjective and expense, the traditional self-reporting que…

cs.CL2021★ 3 cited

Hierarchical information matters: Text classification via tree based graph neural network

Chong Zhang, He Zhu, Xingyu Peng +2

Text classification is a primary task in natural language processing (NLP). Recently, graph neural networks (GNNs) have developed rapidly and been applied to text classification ta…