gayanku / SCGCLinks
Pytorch implementation of Influence Augmented Contrastive (IAC) loss and SCGC : Self-Supervised Contrastive Graph Clustering (https://arxiv.org/abs/2204.12656)
☆22Updated 3 years ago
Alternatives and similar repositories for SCGC
Users that are interested in SCGC are comparing it to the libraries listed below
Sorting:
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆65Updated last year
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆35Updated 11 months ago
- ☆53Updated 2 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- Deep Attention Embedding Graph Clustering(19IJCAI)☆33Updated 4 years ago
- ☆39Updated 4 years ago
- [TNNLS 2022] Embedding Graph Auto-Encoder for Graph Clustering☆25Updated 3 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆142Updated 2 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated 2 years ago
- ☆97Updated 4 years ago
- ☆77Updated 4 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆59Updated 4 years ago
- AAAI 2021-Deep Fusion Clustering Network☆81Updated last year
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆116Updated 4 years ago
- [Pattern Recognition] An official code for paper "Graph Clustering Network with Structure Embedding Enhanced".☆21Updated last year
- WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering☆87Updated 2 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆117Updated 3 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆88Updated 3 years ago
- KDD'22☆64Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆87Updated 9 months ago
- Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”☆28Updated 3 years ago
- NeurIPS 2022 - SHGP☆31Updated 2 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆81Updated 3 years ago
- ☆51Updated 3 years ago
- The source code of HeCo☆166Updated 3 years ago
- ☆17Updated 4 years ago
- HDGI code☆62Updated 5 years ago
- ☆49Updated 7 months ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago