sydney-machine-learning / BayesianGraphNeuralNetworks
Bayesian Graph Neural Networks
☆12Updated 3 years ago
Alternatives and similar repositories for BayesianGraphNeuralNetworks:
Users that are interested in BayesianGraphNeuralNetworks are comparing it to the libraries listed below
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆57Updated 4 years ago
- ☆46Updated 3 years ago
- Graph Imputation Neural Network☆78Updated 5 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆47Updated last year
- Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hen…☆44Updated last year
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆46Updated last year
- ☆39Updated 3 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆36Updated 10 months ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Updated 2 years ago
- A Data-Driven Graph Generative Model for Temporal Interaction Networks☆34Updated 2 years ago
- Neural Dynamics on Complex Networks☆51Updated 4 years ago
- Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24☆18Updated 6 months ago
- Graph Neural Networks for Community Detection☆63Updated 5 years ago
- ☆42Updated 3 years ago
- ☆47Updated 4 months ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆101Updated 2 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆159Updated 5 years ago
- Spatial-Temporal Graph ODE Neural Network☆106Updated 3 years ago
- Implementation of SBM-meet-GNN☆22Updated 5 years ago
- ☆21Updated 9 months ago
- ☆20Updated 3 years ago
- Time series data structure learning with NOTEARS and DYNOTEARS☆11Updated 9 months ago
- This is a Pytorch implementation of our "Learning on Attribute-Missing Graphs".☆28Updated 2 years ago
- ☆116Updated last year
- Code source for Graph Transfer Learning project developed by Northeastern University's SPIRAL research group☆9Updated 3 years ago
- Gradient gating (ICLR 2023)☆53Updated last year
- A Python Library for Machine Learning in Epidemic Data Modeling and Analysis☆39Updated last month
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'☆38Updated 6 years ago
- ☆18Updated 3 years ago
- Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)☆20Updated 3 years ago