Zhe Xu

According to our database, Zhe Xu authored at least 22 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generalized few-shot node classification: toward an uncertainty-based solution.

Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong

Knowl. Inf. Syst., February, 2024

Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-Link Diagrams.

Qing Chen, Nan Chen, Wei Shuai, Guande Wu, Zhe Xu, Hanghang Tong, Nan Cao

IEEE Trans. Vis. Comput. Graph., January, 2024

Language Models are Graph Learners.

Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong

CoRR, 2024

Discrete-state Continuous-time Diffusion for Graph Generation.

Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong

CoRR, 2024

Masked Graph Transformer for Large-Scale Recommendation.

Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Graph Mixup on Approximate Gromov-Wasserstein Geodesics.

Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter.

Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Class-Imbalanced Graph Learning without Class Rebalancing.

Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graph Anomaly Detection with Adaptive Node Mixup.

Qinghai Zhou, Yuzhong Chen, Zhe Xu, Yuhang Wu, Menghai Pan, Mahashweta Das, Hao Yang, Hanghang Tong

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Invariant Graph Transformer.

Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong

CoRR, 2023

Topological Augmentation for Class-Imbalanced Node Classification.

Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong

CoRR, 2023

Natural and Artificial Dynamics in GNNs: A Tutorial.

Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Node Classification Beyond Homophily: Towards a General Solution.

Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Kernel Ridge Regression-Based Graph Dataset Distillation.

Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Data Augmentation for Deep Graph Learning: A Survey.

Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu

SIGKDD Explor., 2022

Learning Optimal Propagation for Graph Neural Networks.

Beidi Zhao, Boxin Du, Zhe Xu, Liangyue Li, Hanghang Tong

CoRR, 2022

Graph Sanitation with Application to Node Classification.

Zhe Xu, Boxin Du, Hanghang Tong

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Generalized Few-Shot Node Classification.

Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Graph Sanitation with Application to Node Classification.

Zhe Xu, Hanghang Tong

CoRR, 2021

DESTINE: Dense Subgraph Detection on Multi-Layered Networks.

Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

A View-Adversarial Framework for Multi-View Network Embedding.

Dongqi Fu, Zhe Xu, Bo Li, Hanghang Tong, Jingrui He

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Ranking on Network of Heterogeneous Information Networks.

Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Hanghang Tong

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020