Gravity_graph_autoencoders
Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hennequin, V.A. Tran and M. Vazirgiannis
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Molgan | 167 | 3 years ago | mit | Python | ||||||
| Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs | ||||||||||
| Dagnet | 72 | 2 years ago | mit | Python | ||||||
| PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting" | ||||||||||
| Linear_graph_autoencoders | 60 | 4 years ago | Python | |||||||
| Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R. Hennequin, M. Vazirgiannis) + k-core framework implementation from IJCAI 2019 article "A Degeneracy Framework for Scalable Graph Autoencoders" (G. Salha, R. Hennequin, V.A. Tran, M. Vazirgiannis) | ||||||||||
| Gravity_graph_autoencoders | 41 | 5 months ago | Python | |||||||
| Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hennequin, V.A. Tran and M. Vazirgiannis | ||||||||||
| Graph Vae | 15 | 7 years ago | 1 | Python | ||||||
| Dgvae | 11 | 3 years ago | 2 | Python | ||||||
| Ned Vae | 8 | 3 years ago | 2 | Python | ||||||
| Vae Random Graph | 8 | 6 years ago | Python | |||||||
| grapg generation for vae | ||||||||||
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