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Mar 3, 2022 · Extensive experiments show that CurvGAN consistently and significantly outperforms the state-of-the-art methods across multiple tasks and shows ...
In this paper, we proposed a novel Curvature Graph Generative Adversarial Networks method, named CurvGAN, which is the first GAN-based graph representation ...
Create a config file in config/; Run python curvgan.py [--config config_filename] to train our model, with setting custom parameters.
Apr 25, 2022 · In this paper, we proposed a novel Curvature Graph Generative Adversarial Networks method, named CurvGAN, which is the first GAN-based graph ...
Duration: 14:03
Posted: Sep 12, 2022
Posted: Sep 12, 2022
In this paper, we proposed a novel Curvature Graph Generative Adversarial Networks method, named \textbf{\modelname}, which is the first GAN-based graph ...
In this paper, we propose Graph-. GAN, an innovative graph representation learning framework unifying above two classes of methods, in which the genera- tive ...
Missing: Curvature | Show results with:Curvature
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BibTeX key: conf/www/LiFSJTWP22; entry type: inproceedings; booktitle: WWW; year: 2022; pages: 1528-1537; publisher: ACM; crossref: conf/www/2022 ...
Feb 15, 2024 · Here we propose a curvature-enhanced graph convolutional network (CGCN) for biomolecular interaction prediction. Our CGCN employs Ollivier-Ricci ...
Here we propose a curvature-enhanced graph convolutional network (CGCN) for biomolecular interaction prediction. Our CGCN employs Ollivier-Ricci curvature (ORC) ...