| Network schema preserving heterogeneous information network embedding J Zhao, X Wang, C Shi, Z Liu, Y Ye International Joint Conference on Artificial Intelligence (IJCAI), 2020 | 137 | 2020 |
| BOND: Benchmarking unsupervised outlier node detection on static attributed graphs K Liu, Y Dou, Y Zhao, X Ding, X Hu, R Zhang, K Ding, C Chen, H Peng, ... Advances in Neural Information Processing Systems 35, 27021-27035, 2022 | 122* | 2022 |
| PyGOD: A Python library for graph outlier detection K Liu, Y Dou, X Ding, X Hu, R Zhang, H Peng, L Sun, SY Philip Journal of Machine Learning Research 25 (141), 1-9, 2024 | 57 | 2024 |
| Equal opportunity of coverage in fair regression F Wang, L Cheng, R Guo, K Liu, PS Yu Advances in Neural Information Processing Systems 36, 2024 | 15 | 2024 |
| Uncertainty in Graph Neural Networks: A Survey F Wang, Y Liu, K Liu, Y Wang, S Medya, PS Yu Transactions on Machine Learning Research, 2024 | 13 | 2024 |
| CoSENT: Consistent Sentence Embedding via Similarity Ranking X Huang, H Peng, D Zou, Z Liu, J Li, K Liu, J Wu, J Su, SY Philip IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 8 | 2024 |
| Multitask Active Learning for Graph Anomaly Detection W Chang, K Liu, K Ding, PS Yu, J Yu arXiv preprint arXiv:2401.13210, 2024 | 5 | 2024 |
| Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models K Liu, H Zhang, Z Hu, F Wang, PS Yu Learning on Graphs Conference, 2024 | 4 | 2024 |
| Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks Q Ma, H Chi, H Zhang, K Liu, Z Zhang, L Cheng, S Wang, PS Yu, Y Ma arXiv preprint arXiv:2402.15680, 2024 | 2 | 2024 |
| LEGO-Learn: Label-Efficient Graph Open-Set Learning H Xu, K Liu, Z Yao, PS Yu, K Ding, Y Zhao arXiv preprint arXiv:2410.16386, 2024 | 1 | 2024 |
| Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement W Chang, K Liu, PS Yu, J Yu Transactions on Machine Learning Research, 2024 | 1 | 2024 |
| BANGS: Game-Theoretic Node Selection for Graph Self-Training F Wang, K Liu, S Medya, PS Yu International Conference on Learning Representations (ICLR), 2025 | | 2025 |
| TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale K Liu, J Ding, MA Torkamani, PS Yu Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2024 | | 2024 |
| FedGraph: A Research Library and Benchmark for Federated Graph Learning Y Yao, Y Li, X Fan, J Li, K Liu, W Jin, S Ravi, PS Yu, C Joe-Wong arXiv preprint arXiv:2410.06340, 2024 | | 2024 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoDirección de correo verificada de cs.uic.edu