matthklein / fair_spectral_clustering
Code for our paper "Guarantees for Spectral Clustering with Fairness Constraints"
☆9Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for fair_spectral_clustering
- Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product☆28Updated 3 years ago
- ☆21Updated 6 months ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆45Updated 3 years ago
- Neural Dynamics on Complex Networks☆51Updated 4 years ago
- Code for "Graph-based Semi-Supervised & Active Learning for Edge Flows"☆15Updated 5 years ago
- ☆21Updated 2 years ago
- A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.☆55Updated 5 years ago
- Baseline Algorithms for Community Detection☆13Updated 2 years ago
- Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”☆28Updated 2 years ago
- A TensorFlow implementation of GraphHeat☆16Updated 4 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆128Updated last year
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆15Updated 4 years ago
- Implementation of "Embedding Graph Auto-Encoder for Graph Clustering", IEEE Transactions on Neural Networks and Learning Systems.☆23Updated 2 years ago
- Adaptive Propagation Graph Convolutional Network☆23Updated 4 years ago
- Code release for "Multi-Level Representation Learning for Deep Subspace Clustering" (WACV 2020)☆10Updated 4 years ago
- Implement of DiGCN, NeurIPS-2020☆45Updated 3 years ago
- Adversarial Training Methods for Network Embedding, WWW2019.☆27Updated 5 years ago
- The code of SCHAIN in the paper Semi-supervised Clustering in Attributed Heterogeneous Information Networks☆10Updated 5 years ago
- LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation ICML_2023☆11Updated last year
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆56Updated 4 years ago
- Matlab code for the method proposed in "Final: Fast attributed network alignment" (KDD'16)☆29Updated 3 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆35Updated 7 months ago
- Network Together: Node Classification via Cross-Network Deep Network Embedding☆11Updated 3 years ago
- Graph Learning Convolution Network☆37Updated last year
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 2 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆30Updated 2 years ago
- ☆21Updated 3 years ago
- Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"☆31Updated 3 weeks ago
- Code of paper "Joint Link Prediction and Network Alignment via Cross-graph Embedding"☆19Updated last year