🍉 Publications
🎙 Graph Transfer Learning

Graph Domain Adaptation from Data-centric Perspective
Can Modifying Data Address Graph Domain Adaptation?
Renhong Huang, Jiarong Xu, Xin Jiang, Ruichuan An, Yang Yang.
In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’24).

Graph Fine-tuning by Narrowing Task Gap
Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks
Renhong Huang, Jiarong Xu, Xin Jiang, Chenglu Pan, Zhiming Yang, Chunping Wang, Yang Yang.
In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI’24).

Graph Pre-training from Data-centric Perspective
Better with Less: A Data-Centric Prespective on Pre-Training Graph Neural Networks \
Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, Yang Yang.
In Proceedings of the 36th Advances in Neural Information Processing Systems (NeurIPS’23).
⚡️ Graph Adversarial Attack

Graph Extraction Attack
Extracting Training Data from Molecular Pre-trained Models
Renhong Huang, Jiarong Xu, Zhiming Yang, Xiang Si, Xin Jiang, Hanyang Yuan, Chunping Wang, Yang Yang
In Proceedings of the 37th Advances in Neural Information Processing Systems (NeurIPS’24).

Efficient Graph Property Inference Attack
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
Hanyang Yuan, Jiarong Xu, Renhong Huang, Mingli Song, Chunping Wang, Yang Yang
In Proceedings of the 37th Advances in Neural Information Processing Systems (NeurIPS’24).
🎈 Graph Homophily

Break the limitation of GNNs on graph data homophily
Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network
Yifei Sun, Haoran Deng, Yang Yang, Chunping Wang, Jiarong Xu, Renhong Huang, Linfeng Cao, Yang Wang, and Lei Chen.
In Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI’22).