68 citations · 74 across the 5 of their papers we have counts for
5 papers
Inconsistent Matters: A Knowledge-guided Dual-consistency Network for Multi-modal Rumor Detection
Mengzhu Sun, Xi Zhang, Jianqiang Ma +3
Rumor spreaders are increasingly utilizing multimedia content to attract the attention and trust of news consumers. Though quite a few rumor detection models have exploited the mul…
Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection
Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu +3
Social networks are frequently polluted by rumors, which can be detected by advanced models such as graph neural networks. However, the models are vulnerable to attacks and underst…
Explaining GNN over Evolving Graphs using Information Flow
Yazheng Liu, Xi Zhang, Sihong Xie
Graphs are ubiquitous in many applications, such as social networks, knowledge graphs, smart grids, etc.. Graph neural networks (GNN) are the current state-of-the-art for these app…
An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks
Keli Zhang, Marcus Kalander, Min Zhou +2
Alarm root cause analysis is a significant component in the day-to-day telecommunication network maintenance, and it is critical for efficient and accurate fault localization and f…
THP: Topological Hawkes Processes for Learning Causal Structure on Event Sequences
Ruichu Cai, Siyu Wu, Jie Qiao +3
Learning causal structure among event types on multi-type event sequences is an important but challenging task. Existing methods, such as the Multivariate Hawkes processes, mostly…