Marigoldwu / GC-SEELinks
[Pattern Recognition] An official code for paper "Graph Clustering Network with Structure Embedding Enhanced".
☆21Updated 2 years ago
Alternatives and similar repositories for GC-SEE
Users that are interested in GC-SEE are comparing it to the libraries listed below
Sorting:
- [WSDM 2022] Efficient Graph Convolution for Joint Node Representation Learning and Clustering☆19Updated last year
- ☆39Updated 4 years ago
- A Unified Library for Deep Graph Clustering☆122Updated last month
- [TNNLS 2022] Embedding Graph Auto-Encoder for Graph Clustering☆26Updated 3 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 3 years ago
- ☆55Updated 3 years ago
- WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering☆89Updated 2 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆33Updated 4 years ago
- AAAI 2021-Deep Fusion Clustering Network☆84Updated last year
- KDD'22☆64Updated 3 years ago
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆37Updated 9 months ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆64Updated 2 years ago
- ☆50Updated 2 years ago
- Hypergraph convolution and attention networks research☆15Updated last year
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆68Updated last year
- The code of paper "A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks, IEEE Transactions on Cyberne…☆20Updated 3 years ago
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆37Updated last year
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated last year
- Source code for the paper "Dual Contrastive Learning Network for Graph Clustering"☆12Updated last year
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆132Updated last year
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆182Updated last year
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆36Updated last year
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 3 years ago
- ☆18Updated 4 years ago
- ☆16Updated 2 years ago
- ☆38Updated 4 years ago
- [ACM MM 2023] An official source code for paper Reinforcement Graph Clustering with Unknown Cluster Number.☆41Updated last year
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Updated 9 months ago
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆38Updated 2 years ago