rollingstonezz / SGMP_code
NeurIPS 2021 paper 'Representation Learning on Spatial Networks' code
☆18Updated 3 years ago
Alternatives and similar repositories for SGMP_code:
Users that are interested in SGMP_code are comparing it to the libraries listed below
- Graph Representation Learning via Graphical Mutual Information Maximization☆113Updated 4 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆56Updated 4 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆47Updated 11 months ago
- Source code for PairNorm (ICLR 2020)☆76Updated 4 years ago
- ☆46Updated 3 years ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆87Updated 3 years ago
- Implement of DiGCN, NeurIPS-2020☆48Updated 3 years ago
- ☆62Updated 4 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆77Updated 3 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆38Updated 5 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆132Updated 2 years ago
- ☆41Updated 3 years ago
- ☆76Updated 3 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆101Updated 2 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated last year
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆65Updated 2 years ago
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Updated last year
- ☆51Updated 5 years ago
- Neural Dynamics on Complex Networks☆51Updated 4 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆114Updated 4 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆119Updated 5 months ago
- The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)☆25Updated 2 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆45Updated 4 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Graph Convolutional Neural Networks with Complex Rational Spectral Filters☆26Updated 6 years ago
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆82Updated last year
- Graph Filter Neural Network (ICPR'20)☆48Updated 4 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago