59 citations · 105 across the 7 of their papers we have counts for
7 papers
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures
Hao Song, Jiacheng Yao, Zhengxi Li +6
Over the past few years, federated learning has become widely used in various classical machine learning fields because of its collaborative ability to train data from multiple sou…
Backfire Effect Reveals Early Controversy in Online Media
Songtao Peng, Tao Jin, Kailun Zhu +2
The rapid development of online media has significantly facilitated the public's information consumption, knowledge acquisition, and opinion exchange. However, it has also led to m…
Is Multi-Modal Necessarily Better? Robustness Evaluation of Multi-modal Fake News Detection
Jinyin Chen, Chengyu Jia, Haibin Zheng +2
The proliferation of fake news and its serious negative social influence push fake news detection methods to become necessary tools for web managers. Meanwhile, the multi-media nat…
Subgraph Networks with Application to Structural Feature Space Expansion
Qi Xuan, Jinhuan Wang, Minghao Zhao +4
Real-world networks exhibit prominent hierarchical and modular structures, with various subgraphs as building blocks. Most existing studies simply consider distinct subgraphs as mo…
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
Jinyin Chen, Jian Zhang, Xuanheng Xu +4
Predicting the potential relations between nodes in networks, known as link prediction, has long been a challenge in network science. However, most studies just focused on link pre…
A Self-Learning Information Diffusion Model for Smart Social Networks
Qi Xuan, Xincheng Shu, Zhongyuan Ruan +3
In this big data era, more and more social activities are digitized thereby becoming traceable, and thus the studies of social networks attract increasing attention from academia.…