| Linkless link prediction via relational distillation Z Guo, W Shiao, S Zhang, Y Liu, NV Chawla, N Shah, T Zhao International Conference on Machine Learning, 12012-12033, 2023 | 54 | 2023 |
| Link prediction with non-contrastive learning W Shiao, Z Guo, T Zhao, EE Papalexakis, Y Liu, N Shah 2023 International Conference on Learning Representations, 2022 | 23 | 2022 |
| CARL-G: Clustering-Accelerated Representation Learning on Graphs W Shiao, US Saini, Y Liu, T Zhao, N Shah, EE Papalexakis 2023 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023 | 8 | 2023 |
| How Does Message Passing Improve Collaborative Filtering? M Ju, W Shiao, Z Guo, Y Ye, Y Liu, N Shah, T Zhao arXiv preprint arXiv:2404.08660, 2024 | 6 | 2024 |
| Adversarially generating rank-constrained graphs W Shiao, EE Papalexakis 2021 IEEE 8th International Conference on Data Science and Advanced …, 2021 | 6 | 2021 |
| GPT-generated Text Detection: Benchmark Dataset and Tensor-based Detection Method Z Qazi, W Shiao, EE Papalexakis Companion Proceedings of the ACM on Web Conference 2024, 842-846, 2024 | 4 | 2024 |
| FRAPPE: fast rank approximation with explainable features for tensors W Shiao, EE Papalexakis Data Mining and Knowledge Discovery 38 (6), 4217-4232, 2024 | 3 | 2024 |
| Node duplication improves cold-start link prediction Z Guo, T Zhao, Y Liu, K Dong, W Shiao, N Shah, NV Chawla arXiv preprint arXiv:2402.09711, 2024 | 3 | 2024 |
| KI2TE: Knowledge-Infused InterpreTable Embeddings for COVID-19 Misinformation Detection. W Shiao, EE Papalexakis KnOD@ WWW, 2021 | 3 | 2021 |
| Improving Out-of-Vocabulary Handling in Recommendation Systems W Shiao, M Ju, Z Guo, X Chen, E Papalexakis, T Zhao, N Shah, Y Liu arXiv preprint arXiv:2403.18280, 2024 | 2 | 2024 |
| SV-Learn: Learning Matrix Singular Values with Neural Networks D Xu, W Shiao, J Chen, EE Papalexakis 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 232-237, 2022 | 2 | 2022 |
| TenGAN: adversarially generating multiplex tensor graphs W Shiao, BA Miller, K Chan, P Yu, T Eliassi-Rad, EE Papalexakis Data Mining and Knowledge Discovery 38 (1), 1-21, 2024 | 1 | 2024 |
| Adversarial Generation of Multi-View Tensor Graphs: A Preliminary Model and Encouraging Results W Shiao, BA Miller, K Chan, P Yu, T Eliassi-Rad, EE Papalexakis Machine Learning on Graphs (MLoG) Workshop at WSDM 2022, 2022 | 1 | 2022 |
| Synthetic data for learning-based knowledge discovery W Shiao, EE Papalexakis ACM SIGKDD Explorations Newsletter 26 (1), 19-23, 2024 | | 2024 |
| SIGKDD explorations H Tian, R Zafarani, W Shiao, EE Papalexakis, AA Freitas, Z Chu, Z Wang, ... | | 2024 |
| Compact Interpretable Tensor Graph Multi-Modal News Embeddings D Ahn, W Shiao, A Khaled, A Bauer, S Poulis, EE Papalexakis Companion Proceedings of the ACM on Web Conference 2024, 847-850, 2024 | | 2024 |
| BRGAN: Generating Graphs of Bounded Rank W Shiao, EE Papalexakis KDD MLG 2020, 2020 | | 2020 |
| SEESAW: Do Graph Neural Networks Improve Node Representation Learning for All? Y Dong, W Shiao, Y Liu, J Li, N Shah, T Zhao | | |
Evangelos E. PapalexakisAssociate Professor and Ross Family Chair, University of California RiversideVerified email at cs.ucr.edu
