Take Attention Inside: Neighbor Pair Graph Contrastive Learning.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Federated Learning with Limited Node Labels.
CoRR, 2024
STMS: An Out-Of-Distribution Model Stealing Method Based on Causality.
Proceedings of the International Joint Conference on Neural Networks, 2024
Graph Federated Learning with Center Moment Constraints for Node Classification.
Proceedings of the Workshop Proceedings of the 53rd International Conference on Parallel Processing, 2024
Generalized heterophily graph data augmentation for node classification.
Neural Networks, November, 2023
Practical and General Backdoor Attacks Against Vertical Federated Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Unsupervised Graph Structure-Assisted Personalized Federated Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Rethinking the Feature Iteration Process of Graph Convolution Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022
KAFNN: A Knowledge Augmentation Framework to Graph Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022