bnusss / GGN
Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction
☆70Updated 5 years ago
Alternatives and similar repositories for GGN:
Users that are interested in GGN are comparing it to the libraries listed below
- Neural Dynamics on Complex Networks☆51Updated 4 years ago
- Automated Discovery of Interactions and Dynamics for Large Networked Dynamical Systems☆16Updated 3 years ago
- ☆10Updated 2 years ago
- Bayesian Tensor Decomposition Approach for Incomplete Traffic Data Imputation☆31Updated 5 years ago
- A repository for using the distributed information bottleneck to locate information in data☆15Updated 6 months ago
- Higher-order Granger reservoir computing☆20Updated last month
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆58Updated 4 years ago
- This repo contains the codes and data for our Nature Communications paper: Deep learning resilience inference for complex networked syste…☆44Updated 4 months ago
- Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum…☆50Updated 5 years ago
- Factoried Neural Relational Inference for Multi-Interacting Systems☆30Updated 5 years ago
- Code for Neural Relational Inference with Efficient Message Passing Mechanisms (AAAI 2021).☆16Updated 3 years ago
- Uncertainty and causal emergence in complex networks☆109Updated 3 years ago
- ☆35Updated 5 years ago
- Implementation of the Latent CCM paper☆14Updated 8 months ago
- ☆42Updated 3 years ago
- Experimental Matlab code for methods and some examples in "Higher-order organization of complex networks"☆41Updated 6 years ago
- ☆19Updated 2 years ago
- Time-varying Autoregression with Low Rank Tensors☆15Updated 3 years ago
- ☆27Updated 6 years ago
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'☆38Updated 6 years ago
- code for "Fully Neural Network based Model for General Temporal Point Processes"☆60Updated 4 years ago
- Probabilistic Tucker decomposition for high dimensional transport data☆13Updated 7 years ago
- ☆38Updated 2 years ago
- Transportation data online prediction☆48Updated 3 years ago
- Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality☆31Updated 4 years ago
- Graphs clustering using kernel measures and estimators. Kernel KMeans, Spectral Clustering, Kernel Ward etc.☆18Updated 9 months ago
- Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""☆10Updated 3 years ago
- Graph Imputation Neural Network☆79Updated 4 years ago
- Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming opti…☆30Updated 5 months ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 5 years ago