ZhihaoPENG-CityU / MM21---AGCNLinks
The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.
☆36Updated last year
Alternatives and similar repositories for MM21---AGCN
Users that are interested in MM21---AGCN are comparing it to the libraries listed below
Sorting:
- ☆55Updated 3 years ago
- AAAI 2021-Deep Fusion Clustering Network☆85Updated last year
- The Tensorflow Implementation of paper Self-supervised Graph Convolutional Network For Multi-view Clustering☆36Updated 3 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆24Updated 3 years ago
- [TNNLS 2022] Embedding Graph Auto-Encoder for Graph Clustering☆26Updated 3 years ago
- The Pytorch implementation of "NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering"☆17Updated last year
- [TPAMI 2022] Adaptive Graph Auto-Encoder for General Data Clustering☆47Updated 2 years ago
- ☆39Updated 4 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 3 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆91Updated last year
- IJCAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction☆14Updated last year
- ☆23Updated 4 years ago
- ☆61Updated 3 years ago
- WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering☆89Updated 2 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆70Updated 2 years ago
- IJCAI 2022- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering☆21Updated 2 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆68Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Updated 2 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated 2 years ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆40Updated 3 years ago
- Pytorch implementation of Influence Augmented Contrastive (IAC) loss and SCGC : Self-Supervised Contrastive Graph Clustering (https://a…☆25Updated 3 years ago
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆77Updated 3 years ago
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆38Updated 9 months ago
- ☆77Updated 4 years ago
- Graph Debiased Contrastive Learning with Joint Representation Clustering☆25Updated 2 years ago
- ☆18Updated 5 years ago
- [ACM MM 2023] An official source code for paper Reinforcement Graph Clustering with Unknown Cluster Number.☆41Updated 2 years ago
- Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”☆28Updated 3 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆62Updated 3 years ago
- [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"☆46Updated 3 years ago