ashleve / graph_classificationLinks
Benchmarking GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels
☆30Updated 3 years ago
Alternatives and similar repositories for graph_classification
Users that are interested in graph_classification are comparing it to the libraries listed below
Sorting:
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecul…☆56Updated last year
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆51Updated 8 months ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆66Updated 3 years ago
- The official implementation of the SGCN architecture.☆63Updated 3 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆68Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Updated 3 years ago
- Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)☆49Updated 3 years ago
- Transformers are Graph Neural Networks!☆54Updated 4 years ago
- informal exposition of Weisfeiler-Leman similarity☆28Updated 4 years ago
- [NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation☆42Updated 2 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆39Updated 4 years ago
- Collection of resources related with Graph Contrastive Learning.☆34Updated 4 years ago
- First and Complementary Neighborhood Combination of Adjacency Matrix for Graph Learning☆20Updated 2 years ago
- ☆62Updated 5 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Updated 4 years ago
- MWP for superpixel GNN classification☆25Updated 6 years ago
- Official implementation of "Non-Local Graph Neural Networks" [TPAMI]☆23Updated 3 years ago
- AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)☆48Updated 3 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆44Updated 5 years ago
- Source code for the paper Residual Enhanced Multi-Hypergraph Neural Network (ICIP 2021).☆18Updated 4 years ago
- Regression Graph Neural Network (regGNN) for cognitive score prediction.☆76Updated 2 years ago
- Based on Graph Convolutional Networks in PyTorch, visualization of test set results was added with t-SNE algorithm.☆44Updated 5 years ago
- [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks☆31Updated 3 years ago
- Python package for graph-based clustering and semi-supervised learning☆100Updated 3 months ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated 2 years ago
- Superpixel for CIFAR dataset☆11Updated 3 years ago