101 citations · 295 across the 14 of their papers we have counts for
4 papers · 1 filter
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…
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…
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Hao Peng, Ruitong Zhang, Yingtong Dou +3
Graph Neural Networks (GNNs) have been widely used for the representation learning of various structured graph data. While promising, most existing GNNs oversimplified the complexi…
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market
Hao Peng, Jianxin Li, Zheng Wang +5
We present Luce, the first life-long predictive model for automated property valuation. Luce addresses two critical issues of property valuation: the lack of recent sold prices and…