William Shiao
Cited by
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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
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
Adversarially generating rank-constrained graphs
W Shiao, EE Papalexakis
2021 IEEE 8th International Conference on Data Science and Advanced …, 2021
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
KI2TE: Knowledge-Infused InterpreTable Embeddings for COVID-19 Misinformation Detection.
W Shiao, EE Papalexakis
KnOD@ WWW, 2021
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
TenGAN: adversarially generating multiplex tensor graphs
W Shiao, BA Miller, K Chan, P Yu, T Eliassi-Rad, EE Papalexakis
Data Mining and Knowledge Discovery, 1-21, 2023
Compact Interpretable Tensor Graph Multi-Modal News Embeddings
D Ahn, W Shiao, A Bauer, A Khaled, S Poulis, E Papalexakis
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
FRAPPE: ast nk roximation with xplainable Features for Tensors
W Shiao, EE Papalexakis
arXiv preprint arXiv:2206.09316, 2022
BRGAN: Generating Graphs of Bounded Rank
W Shiao, EE Papalexakis
KDD MLG 2020, 2020
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