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 | 109 | 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 | 74* | 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 | 34 | 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 | 6 | 2024 |
Uncertainty in Graph Neural Networks: A Survey F Wang, Y Liu, K Liu, Y Wang, S Medya, PS Yu arXiv preprint arXiv:2403.07185, 2024 | 2 | 2024 |
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement W Chang, K Liu, PS Yu, J Yu arXiv preprint arXiv:2406.00987, 2024 | | 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 | | 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 | | 2024 |
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction C Wang, F Wang, R Guo, Y Liang, K Liu, PS Yu arXiv preprint arXiv:2402.08976, 2024 | | 2024 |
Multitask Active Learning for Graph Anomaly Detection W Chang, K Liu, K Ding, PS Yu, J Yu arXiv preprint arXiv:2401.13210, 2024 | | 2024 |
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models K Liu, H Zhang, Z Hu, F Wang, PS Yu arXiv preprint arXiv:2312.17679, 2023 | | 2023 |