yincheng / GGPLinks
Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'
☆38Updated 7 years ago
Alternatives and similar repositories for GGP
Users that are interested in GGP are comparing it to the libraries listed below
Sorting:
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆162Updated 6 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Updated last year
- Implementation of SBM-meet-GNN☆23Updated 6 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆62Updated 5 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Updated 8 years ago
- ☆144Updated 4 years ago
- ☆25Updated 6 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆86Updated last year
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆187Updated 3 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "…☆124Updated 6 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 5 years ago
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- ☆316Updated 3 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆134Updated 5 years ago
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆145Updated 5 years ago
- Active Learning for Graph Embedding☆33Updated 8 years ago
- A TensorFlow implementation of Graph Wavelet Neural Network☆65Updated 6 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆48Updated last year
- Variational Graph Recurrent Neural Networks - PyTorch☆117Updated 5 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆54Updated 6 years ago
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- LDP for graph classification☆23Updated 6 years ago
- Variational Graph Convolutional Networks☆23Updated 5 years ago