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
33 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
18 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
6 2023 Adversarially generating rank-constrained graphs W Shiao, EE Papalexakis
2021 IEEE 8th International Conference on Data Science and Advanced …, 2021
6 2021 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 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
1 2024 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
1 2024 Ten GAN: 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 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
1 2022 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 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
2024 FRAPPE: W Shiao, EE Papalexakis
arXiv preprint arXiv:2206.09316, 2022
2022 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, University of California Riverside在 cs.ucr.edu 的电子邮件经过验证
