zhiqiangzhongddu / HC-GNNLinks
[DMKD-ECMLPKDD] Hierarchical Message-Passing Graph Neural Networks (https://arxiv.org/abs/2009.03717)
☆20Updated last year
Alternatives and similar repositories for HC-GNN
Users that are interested in HC-GNN are comparing it to the libraries listed below
Sorting:
- New Algorithms for Learning on Hypergraphs☆41Updated 3 years ago
- "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022☆33Updated 3 years ago
- Graph Transformers for Large Graphs☆22Updated last year
- Benchmarking GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels☆30Updated 3 years ago
- Random Walk Graph Neural Networks☆54Updated 4 years ago
- ☆16Updated 7 months ago
- spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…☆64Updated 3 years ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆67Updated 2 years ago
- The official implementation of the Graph Barlow Twins method with the experimental pipeline☆31Updated last year
- Official Implementation of Graph Mixer Networks☆20Updated last year
- ☆18Updated 3 years ago
- PyTorch Codes for Haar Graph Pooling☆11Updated 2 years ago
- Hierarchical Graph Net☆36Updated 4 years ago
- Edge-Augmented Graph Transformer☆50Updated 3 years ago
- Ultrahyperbolic Representation Learning☆13Updated 5 years ago
- Official code for the ICML2022 paper -- GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks☆54Updated 2 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- Hands-on tutorial about link analysis techniques☆37Updated 4 years ago
- ☆11Updated 2 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated 2 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated 2 years ago
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…☆14Updated 3 years ago
- First and Complementary Neighborhood Combination of Adjacency Matrix for Graph Learning☆20Updated 2 years ago
- A Graph Structure Learning (GSL) Toolkit☆36Updated 2 years ago
- Course Project for CS224W at Stanford☆22Updated 3 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- Sandbox to analysis and benchmarking Graph Transformer Neural Networks☆35Updated 2 years ago
- here you can find the material used for our Tutorials☆103Updated 3 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago