Towards Controllable Hybrid Fairness in Graph Neural Networks

Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Hai Jin

Project

• A multi-teacher knowledge distillation framework for addressing multiple kinds of fairness simultaneously.

Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections

Zihan Luo, Hong Huang, Yongkang Zhou, Jiping Zhang, Nuo Chen, Hai Jin

Project

• A node-injection-based fairness attack framework on GNNs.
• Code | Vedio.

GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability

Zihan Luo, Xiran Song, Hong Huang, Jianxun Lian, Chenhao Zhang, Jinqi Jiang, Xing Xie, Hai Jin

Project

• A comprehensive benchmark GraphInstruct on enhancing and improving the graph understanding and reasoning capability.
• Code.

Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective

Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Xing Xie, Hai Jin

Project

• A framework on investigating and mitigating the bias on Cross-links from a data augmentation perspective.
• Code.

xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction

Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin

Project

• A novel GNN paradigm for large-scale social recommendation.
• Code | Youtube.

Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks

Zihan Luo, Jianxun Lian, Hong Huang, Xing Xie, Hai Jin

Project

• A novel GNN training framework for capturing graph local patterns while preserving global information.
• Code.

ViPal: A Framework for Virulence Prediction of Influenza Viruses with Prior Viral Knowledge Using Genomic Sequences

Rui Yin*, Zihan Luo*, Pei Zhuang, Chee Keong Kwoh, Zhuoyi Lin

Project

• Utilizing human prior knowledge for virulence prediction with posterior regularization.
• Code.

Exploring the lethality of human-adapted coronavirus through alignment-free machine learning approaches using genomic sequences

Rui Yin, Zihan Luo, Chee Keong Kwoh

Project

• A simple framework for utilizing deep neural networks for coronavirus lethality prediction.
• Code.

VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments

Rui Yin, Zihan Luo, Pei Zhuang, Zhuoyi Lin, Chee Keong Kwoh

Project

• A framework for utilizing deep neural networks for virulence prediction of influenza A virus.
• Code.