| Data Augmentation for Deep Graph Learning: A Survey K Ding, Z Xu, H Tong, H Liu ACM SIGKDD Explorations Newsletter 24 (2), 61-77, 2022 | 352 | 2022 |
| Kernel Ridge Regression-based Graph Dataset Distillation Z Xu, Y Chen, M Pan, H Chen, M Das, H Yang, H Tong Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 64 | 2023 |
| Class-Imbalanced Graph Learning without Class Rebalancing Z Liu, R Qiu, Z Zeng, H Yoo, D Zhou, Z Xu, Y Zhu, K Weldemariam, J He, ... Forty-first International Conference on Machine Learning, 2024 | 53* | 2024 |
| Discrete-state Continuous-time Diffusion for Graph Generation Z Xu, R Qiu, Y Chen, H Chen, X Fan, M Pan, Z Zeng, M Das, H Tong Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024 | 52 | 2024 |
| Graph Sanitation with Application to Node Classification Z Xu, B Du, H Tong Proceedings of the ACM Web Conference 2022, 1136-1147, 2022 | 45 | 2022 |
| A View-Adversarial Framework for Multi-View Network Embedding D Fu, Z Xu, B Li, H Tong, J He Proceedings of the 29th ACM International Conference on Information …, 2020 | 42 | 2020 |
| Node Classification Beyond Homophily: Towards a General Solution Z Xu, Y Chen, Q Zhou, Y Wu, M Pan, H Yang, H Tong Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 34 | 2023 |
| Graph Mixup on Approximate Gromov–Wasserstein Geodesics Z Zeng, R Qiu, Z Xu, Z Liu, Y Yan, T Wei, L Ying, J He, H Tong Forty-first International Conference on Machine Learning, 2024 | 29 | 2024 |
| SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter H Xu, Y Yan, D Wang, Z Xu, Z Zeng, TF Abdelzaher, J Han, H Tong Forty-first International Conference on Machine Learning, 2024 | 23 | 2024 |
| Ask, and it shall be given: On the Turing completeness of prompting R Qiu, Z Xu, W Bao, H Tong arXiv preprint arXiv:2411.01992, 2024 | 18 | 2024 |
| Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-Link Diagrams Q Chen, N Chen, W Shuai, G Wu, Z Xu, H Tong, N Cao IEEE Transactions on Visualization and Computer Graphics, 2023 | 18 | 2023 |
| Thegcn: Temporal heterophilic graph convolutional network Y Yan, Y Chen, H Chen, X Li, Z Xu, Z Zeng, L Liu, Z Liu, H Tong arXiv preprint arXiv:2412.16435, 2024 | 12 | 2024 |
| Masked Graph Transformer for Large-Scale Recommendation H Chen, Z Xu, CCM Yeh, V Lai, Y Zheng, M Xu, H Tong Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 12 | 2024 |
| Relation Extraction Using Supervision from Topic Knowledge of Relation Labels. H Jiang, L Cui, Z Xu, D Yang, J Chen, C Li, J Liu, J Liang, C Wang, Y Xiao, ... IJCAI, 5024-5030, 2019 | 11 | 2019 |
| Natural and artificial dynamics in gnns: A tutorial D Fu, Z Xu, H Tong, J He Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 9 | 2023 |
| Graph anomaly detection with adaptive node mixup Q Zhou, Y Chen, Z Xu, Y Wu, M Pan, M Das, H Yang, H Tong Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 8 | 2024 |
| How to make LLMs strong node classifiers? Z Xu, K Hassani, S Zhang, H Zeng, M Yasunaga, L Wang, D Fu, N Yao, ... arXiv preprint arXiv:2410.02296, 2024 | 7* | 2024 |
| Generalized Few-Shot Node Classification Z Xu, K Ding, YX Wang, H Liu, H Tong IEEE International Conference on Data Mining (ICDM), 2022 | 7 | 2022 |
| Generalized few-shot node classification: toward an uncertainty-based solution Z Xu, K Ding, YX Wang, H Liu, H Tong Knowledge and Information Systems 66 (2), 1205-1229, 2024 | 5 | 2024 |
| DESTINE: Dense Subgraph Detection on Multi-Layered Networks Z Xu, S Zhang, Y Xia, L Xiong, J Xu, H Tong Proceedings of the 30th ACM International Conference on Information …, 2021 | 5 | 2021 |
Hanghang TongUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
