praxidike97 / GraphNeuralNet
A simple Graph Net in PyTorch
☆24Updated 4 years ago
Alternatives and similar repositories for GraphNeuralNet:
Users that are interested in GraphNeuralNet are comparing it to the libraries listed below
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- First and Complementary Neighborhood Combination of Adjacency Matrix for Graph Learning☆20Updated last year
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆54Updated 5 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆76Updated 5 years ago
- "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022☆33Updated 3 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆45Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- ☆62Updated 4 years ago
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆49Updated last month
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 4 years ago
- ☆12Updated 5 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆115Updated 4 years ago
- MagNet graph convolutional network☆37Updated last year
- Implicit Graph Neural Networks☆62Updated 3 years ago
- ☆30Updated 2 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 3 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 4 years ago
- Gradient gating (ICLR 2023)☆53Updated last year
- ☆27Updated 3 years ago
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆40Updated last year
- ☆35Updated 5 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆42Updated 2 years ago
- ☆30Updated 2 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 4 years ago
- Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)☆18Updated 4 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago