Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”
☆28Feb 28, 2022Updated 4 years ago
Alternatives and similar repositories for MGAE
Users that are interested in MGAE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep Attention Embedding Graph Clustering(19IJCAI)☆33Mar 8, 2021Updated 5 years ago
- IJCAI 2022- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering☆20Apr 24, 2023Updated 2 years ago
- Tensorflow implementation of Deep Embedded Clustering (DEC) for unsupervised learning☆20Jul 27, 2017Updated 8 years ago
- The Tensorflow Implementation of paper Self-supervised Graph Convolutional Network For Multi-view Clustering☆36Mar 4, 2022Updated 4 years ago
- [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"☆47Jun 13, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆18May 7, 2021Updated 4 years ago
- MATLAB implementation for our AAAI-20 paper: Quanxue Gao, Wei Xia, Zhizhen Wan, Deyan Xie, Pu Zhang. Tensor-SVD Based Graph Learning for…☆29Mar 31, 2021Updated 5 years ago
- Graph Debiased Contrastive Learning with Joint Representation Clustering☆26May 10, 2023Updated 2 years ago
- Deep Autoencoder-like NMF☆23Jan 22, 2021Updated 5 years ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Oct 3, 2022Updated 3 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Jul 6, 2023Updated 2 years ago
- Attributed Biased Random Walks (ABRW) is an Attributed Network Embedding method☆12Sep 30, 2021Updated 4 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆186Feb 28, 2022Updated 4 years ago
- [WSDM 2022] Efficient Graph Convolution for Joint Node Representation Learning and Clustering☆20Jan 26, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.☆18Oct 22, 2020Updated 5 years ago
- Graph Clustering with Embedding Propagation☆16Feb 20, 2019Updated 7 years ago
- ☆62Nov 15, 2022Updated 3 years ago
- ☆15Nov 3, 2022Updated 3 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Jun 6, 2021Updated 4 years ago
- AAAI 2021-Deep Fusion Clustering Network☆85Mar 4, 2024Updated 2 years ago
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆36Aug 16, 2024Updated last year
- Implementation of Meta-GNN in TensorFlow☆48Apr 29, 2021Updated 4 years ago
- 标签传播算法(社区重叠算法)☆13Apr 28, 2018Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Jul 6, 2023Updated 2 years ago
- FGCS 2021: Mutual teaching for graph convolutional networks☆14Sep 2, 2020Updated 5 years ago
- ☆12Dec 17, 2023Updated 2 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆159Apr 7, 2023Updated 3 years ago
- ☆23Apr 30, 2021Updated 4 years ago
- [TNNLS 2022] Embedding Graph Auto-Encoder for Graph Clustering☆24Apr 6, 2022Updated 4 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Mar 6, 2023Updated 3 years ago
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆115Mar 22, 2021Updated 5 years ago
- dmne is an algorithm to learn node representations from multi-network data.☆14Aug 1, 2018Updated 7 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆20Dec 2, 2019Updated 6 years ago
- Implementation of Neural Graph Machine inspired by the paper [2017 - Bui, Ravi Ramavajjala - Neural Graph Machines: Learning Neural Netwo…☆20Feb 1, 2018Updated 8 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Jul 18, 2019Updated 6 years ago
- The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)☆26May 21, 2019Updated 6 years ago
- SoptSC for single cell data analysis: unsupervised inference of clustering, cell lineage, pseudotime and cell-cell communication network …☆22Dec 12, 2020Updated 5 years ago
- "ZINB-based Graph Embedding Autoencoder for Single-cell RNA-seq Interpretations" in AAAI 2022☆26Feb 5, 2023Updated 3 years ago
- Structural Deep Clustering Network☆290Jul 6, 2023Updated 2 years ago