2023

doi dblp
Towards Faithful and Consistent Explanations for Graph Neural Networks
Tianxiang Zhao | Dongsheng Luo | Xiang Zhang | Suhang Wang
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023

2022

doi dblp
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features
Tianxiang Zhao | Enyan Dai | Kai Shu | Suhang Wang
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

doi dblp
Explanation Guided Contrastive Learning for Sequential Recommendation
Lei Wang | Ee-Peng Lim | Zhiwei Liu | Tianxiang Zhao
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp
Exploring Edge Disentanglement for Node Classification
Tianxiang Zhao | Xiang Zhang | Suhang Wang
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

2021

doi dblp
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks
Tianxiang Zhao | Xiang Zhang | Suhang Wang
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

2020

doi dblp
Semi-Supervised Graph-to-Graph Translation
Tianxiang Zhao | Xianfeng Tang | Xiang Zhang | Suhang Wang
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

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