Showing 2024 · cs.LGShow all
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cs.LG2024
Disentangled Generative Graph Representation Learning
Xinyue Hu, Zhibin Duan, Xinyang Liu +6
Recently, generative graph models have shown promising results in learning graph representations through self-supervised methods. However, most existing generative graph representa…
cs.LG2024
Beyond Spectral Decomposition: Bayesian Contrastive Learning and its Non-negative Formulation via Factor Analysis
Zhibin Duan, Tiansheng Wen, Yifei Wang +3
Factor analysis, often regarded as a Bayesian variant of matrix factorization, offers superior capabilities in capturing uncertainty, modeling complex dependencies, and ensuring ro…
cs.LG2024
Advancing Graph Generation through Beta Diffusion
Xinyang Liu, Yilin He, Bo Chen +1
Diffusion models have excelled in generating natural images and are now being adapted to a variety of data types, including graphs. However, conventional models often rely on Gauss…