FernandoLpz / VGAE-PyTorchLinks
This repository shows an implementation of the VGAE based model with PyTorch.
☆11Updated 3 years ago
Alternatives and similar repositories for VGAE-PyTorch
Users that are interested in VGAE-PyTorch are comparing it to the libraries listed below
Sorting:
- ☆77Updated 3 years ago
- ☆63Updated 4 years ago
- Representation learning on dynamic graphs using self-attention networks☆303Updated 2 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 2 months ago
- The source code of HeCo☆168Updated 3 years ago
- source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)☆55Updated 2 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆150Updated 2 years ago
- ☆139Updated 2 years ago
- GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/930271…☆65Updated 4 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆96Updated 3 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆239Updated 2 years ago
- Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hen…☆46Updated last year
- HDGI code☆63Updated 5 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 4 years ago
- DyHATR (ECML-PKDD 2020)☆44Updated 5 years ago
- ☆334Updated last year
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆103Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- ☆99Updated 4 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆232Updated 2 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆209Updated 5 years ago
- ☆138Updated 2 years ago
- Datasets-for-Heterogeneous-Graph☆135Updated 6 years ago
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago
- Implement EvolveGCN by DGL.☆28Updated 4 years ago
- Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)☆161Updated last year
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Updated 2 years ago