JunwenBai / correlation-gnn
Correlated Graph Neural Networks
☆27Updated 4 years ago
Alternatives and similar repositories for correlation-gnn
Users that are interested in correlation-gnn are comparing it to the libraries listed below
Sorting:
- ☆20Updated 4 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆58Updated 4 years ago
- ☆18Updated last year
- ☆27Updated 3 years ago
- ☆62Updated 4 years ago
- The official implementation of the Graph Barlow Twins method with the experimental pipeline☆31Updated last year
- ☆46Updated 3 years ago
- Gradient gating (ICLR 2023)☆53Updated 2 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 and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆37Updated last year
- ☆82Updated 3 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 3 years ago
- GraphCON (ICML 2022)☆59Updated 2 years ago
- Code for Graph Normalizing Flows.☆62Updated 5 years ago
- The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)☆25Updated 2 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆57Updated 2 years ago
- ☆31Updated last year
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆25Updated 3 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆88Updated 3 years ago
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆46Updated last year
- Course Project for CS224W at Stanford☆22Updated 3 years ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆16Updated 10 months ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- ☆28Updated last year
- ☆23Updated 3 years ago
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆81Updated last year
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Updated 3 years ago
- Generating PGM Explanation for GNN predictions☆74Updated last year
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 4 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆42Updated 2 years ago