FilippoMB / Simplifying-Clustering-with-Graph-Neural-NetworksLinks
Implementation of "Just Balance GNN" for graph classification and node clustering from the paper "Simplifying Clusterings with Graph Neural Networks".
☆35Updated 2 months ago
Alternatives and similar repositories for Simplifying-Clustering-with-Graph-Neural-Networks
Users that are interested in Simplifying-Clustering-with-Graph-Neural-Networks are comparing it to the libraries listed below
Sorting:
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆44Updated last year
- The official implementation of the Graph Barlow Twins method with the experimental pipeline☆31Updated last year
- Generating PGM Explanation for GNN predictions☆75Updated last year
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆43Updated 2 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆88Updated 3 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Updated 3 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 3 years ago
- Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"☆53Updated 2 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆81Updated last year
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆62Updated 3 years ago
- ☆82Updated 3 years ago
- Explanation method for Graph Neural Networks (GNNs)☆69Updated 2 months ago
- ☆18Updated last year
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆60Updated 4 years ago
- MagNet graph convolutional network☆37Updated last year
- ☆38Updated 2 years ago
- ☆46Updated 2 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆88Updated last year
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆16Updated 11 months ago
- ☆62Updated 4 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- A list for GNNs and related works.☆95Updated last month
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated last year
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆60Updated 2 months ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆198Updated 4 months ago
- Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)☆23Updated 2 weeks ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 3 months ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 10 months ago
- Higher-order clustering and pooling for GNNs☆8Updated 2 years ago
- ☆54Updated 3 years ago