maxwass / pyGSL
A Graph Structure Learning (GSL) Toolkit
☆36Updated 2 years ago
Alternatives and similar repositories for pyGSL:
Users that are interested in pyGSL are comparing it to the libraries listed below
- The official implementation of the Graph Barlow Twins method with the experimental pipeline☆30Updated last year
- Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product☆28Updated 3 years ago
- Correlated Graph Neural Networks☆27Updated 4 years ago
- Discovering directional relations via minimum predictive information regularization☆23Updated 5 years ago
- ☆20Updated 3 years ago
- ☆14Updated 7 years ago
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆27Updated last year
- ☆23Updated 3 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆34Updated 4 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- Code for generating Higher-order Network (HON) from data with higher-order dependencies☆66Updated last year
- ☆19Updated 2 years ago
- Change Detection in a sequence of Graphs☆22Updated 2 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 4 years ago
- MagNet graph convolutional network☆37Updated last year
- Code for the paper "Estimating Transfer Entropy via Copula Entropy"☆41Updated last year
- Neural Dynamics on Complex Networks☆52Updated 4 years ago
- Graph Echo State Networks for Pytorch☆21Updated last year
- PyTorch-Geometric Implementation of MarkovGNN method published in Graph Learning@WWW 2022 titled "MarkovGNN: Graph Neural Networks on Mar…☆15Updated 3 years ago
- A python package for finding causal functional connectivity from neural time series observations.☆16Updated 2 months ago
- Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)☆20Updated 3 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- ☆13Updated 3 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
- Signal recovery and sampling over graphs☆14Updated 6 years ago
- Implementation of SBM-meet-GNN☆23Updated 5 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆45Updated last year
- ☆81Updated 2 years ago
- GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/930271…☆65Updated 3 years ago