praxidike97 / GraphNeuralNetLinks
A simple Graph Net in PyTorch
☆24Updated 5 years ago
Alternatives and similar repositories for GraphNeuralNet
Users that are interested in GraphNeuralNet are comparing it to the libraries listed below
Sorting:
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- ☆62Updated 5 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 3 years ago
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- Graph Neural Network Tutorial☆196Updated 5 years ago
- First and Complementary Neighborhood Combination of Adjacency Matrix for Graph Learning☆20Updated 2 years ago
- The official implementation of the SGCN architecture.☆63Updated 3 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- ☆30Updated 4 years ago
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆51Updated 9 months ago
- Gradient gating (ICLR 2023)☆55Updated 2 years ago
- ☆31Updated 2 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆277Updated 9 months ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆86Updated last year
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆98Updated 3 years ago
- Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019☆45Updated 6 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆53Updated 6 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- Implicit Graph Neural Networks☆64Updated 4 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆41Updated 2 years ago
- A list for GNNs and related works.☆102Updated last month
- "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022☆33Updated 3 years ago
- Implement of DiGCN, NeurIPS-2020☆48Updated 4 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆41Updated 4 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆45Updated 3 years ago