XU19981013 / Hypergraphs-Clustering-and-Embedding
The hypergraph spectral clustering model is used to obtain network embedding to realize clustering
☆22Updated 2 years ago
Related projects: ⓘ
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆109Updated last year
- The code of paper "A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks, IEEE Transactions on Cyberne…☆16Updated 2 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆34Updated 4 months ago
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆105Updated 3 years ago
- Python 3 supported version for DySAT☆13Updated last year
- Structural Deep Clustering Network☆12Updated 4 years ago
- ☆15Updated 2 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆30Updated 3 years ago
- The codes of IJCAI 2021 paper "Temporal Heterogeneous Information Network Embedding"☆13Updated 2 years ago
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆42Updated 4 months ago
- Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021☆97Updated last year
- Implementation in TF2 of Community-Centric Graph Convolutional Network for Unsupervised Community Detection☆19Updated 2 years ago
- Hypergraph convolution and attention networks research☆12Updated last month
- [Pattern Recognition] An official code for paper "Graph Clustering Network with Structure Embedding Enhanced".☆17Updated last year
- CasSeqGCN: Combining Network Structure and Temporal Sequence to Predict Information Cascades☆15Updated 2 years ago
- Implementation of AAAI22 paper: MS-HGAT: Memory-enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction☆33Updated last year
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆118Updated last year
- ☆12Updated 2 years ago
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆99Updated last year
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆18Updated 7 months ago
- DyHATR (ECML-PKDD 2020)☆42Updated 4 years ago
- [WSDM 2022] Efficient Graph Convolution for Joint Node Representation Learning and Clustering☆18Updated 7 months ago
- KDD'22☆55Updated last year
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆61Updated 9 months ago
- ☆8Updated last year
- A pytorch implemention of GCN-GAN for temporal link prediction.☆99Updated 5 years ago
- ☆51Updated 3 years ago
- gnn for link prediction，图神经网络用于链接预测。☆38Updated 2 years ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆46Updated 8 months ago
- source code for IJCAI 2023 accpeted Paper CSGCL:Community Strength Enhanced Graph Contrastive Learning☆16Updated 6 months ago