hyzhang98 / EGAELinks
[TNNLS 2022] Embedding Graph Auto-Encoder for Graph Clustering
☆26Updated 3 years ago
Alternatives and similar repositories for EGAE
Users that are interested in EGAE are comparing it to the libraries listed below
Sorting:
- ☆55Updated 3 years ago
- ☆39Updated 4 years ago
- IJCAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction☆14Updated last year
- [WSDM 2022] Efficient Graph Convolution for Joint Node Representation Learning and Clustering☆19Updated last year
- [TPAMI 2022] Adaptive Graph Auto-Encoder for General Data Clustering☆47Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 3 years ago
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆37Updated 9 months ago
- ☆11Updated 2 years ago
- IJCAI 2022-Initializing Then Refining: A Simple Graph Attribute Imputation Network☆13Updated last year
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆68Updated last year
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆37Updated last year
- AAAI 2021-Deep Fusion Clustering Network☆83Updated last year
- Source code for the paper "Dual Contrastive Learning Network for Graph Clustering"☆12Updated last year
- The Tensorflow Implementation of paper Self-supervised Graph Convolutional Network For Multi-view Clustering☆36Updated 3 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
- ☆23Updated 4 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 3 years ago
- A curated list of Heterophilous Graph Self-Supervised Learning papers.☆15Updated 2 years ago
- KDD'22☆64Updated 3 years ago
- ACM MM 2023: Self-contrastive graph diffusion network☆17Updated 2 years ago
- Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"☆15Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated 2 years ago
- Graph Debiased Contrastive Learning with Joint Representation Clustering☆25Updated 2 years ago
- The Pytorch implementation of "NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering"☆17Updated last year
- ☆38Updated 4 years ago
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆36Updated last year
- [TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"☆20Updated last year
- WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering☆89Updated 2 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆59Updated 4 years ago
- ☆32Updated 2 years ago