Tianxiang Zhao

2025

Towards Reliable GNNs: Adversarial Calibration Learning for Confidence Estimation.

Yoo Kyung Jeong|Yilong Wang|Jiahao Zhang|Min Song|Jiahao Zhang|Min Song|Tianxiang Zhao|Suhang Wang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs.

Yilong Wang|Tianxiang Zhao|Zongyu Wu|Suhang Wang

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025

2024

HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training.

Fali Wang|Tianxiang Zhao|Junjie Xu|Suhang Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels.

Fali Wang|Tianxiang Zhao|Suhang Wang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024

Interpretable Imitation Learning with Dynamic Causal Relations.

Tianxiang Zhao|Wenchao Yu|Suhang Wang|Lu Wang|Xiang Zhang|Yuncong Chen|Yanchi Liu|Wei Cheng|Haifeng Chen

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024

Disambiguated Node Classification with Graph Neural Networks.

Tianxiang Zhao|Xiang Zhang|Suhang Wang

Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024

2023

Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment.

Tianxiang Zhao|Dongsheng Luo|Xiang Zhang|Suhang Wang

ACM Transactions on Intelligent Systems and Technology (TIST) 2023 Volume 14 Issue 5

T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data.

Weijieying Ren|Tianxiang Zhao|Wei Qin|Kunpeng Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

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

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

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

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

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

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