101 citations · 295 across the 14 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.SI2023★ 1 cited
BotSCL: Heterophily-aware Social Bot Detection with Supervised Contrastive Learning
Qi Wu, Yingguang Yang, Buyun He +3
Detecting ever-evolving social bots has become increasingly challenging. Advanced bots tend to interact more with humans as a camouflage to evade detection. While graph-based detec…
cs.LG2023★ 53 cited
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization
Dongcheng Zou, Hao Peng, Xiang Huang +5
Graph Neural Networks (GNNs) are de facto solutions to structural data learning. However, it is susceptible to low-quality and unreliable structure, which has been a norm rather th…
cs.LG2023★ 30 cited
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection
Yingguang Yang, Renyu Yang, Hao Peng +4
Social bot detection is of paramount importance to the resilience and security of online social platforms. The state-of-the-art detection models are siloed and have largely overloo…