Logan-Lin / GCN-Encoder-LINE-Decoder
Two layer GCN for unsupervised graph node embedding learning, with LINE-like optimizer.
☆9Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for GCN-Encoder-LINE-Decoder
- source code for TNNLS paper "Multi-Task Representation Learning with Multi-View Graph Convolutional Networks"☆19Updated 4 years ago
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆55Updated 3 years ago
- Semi-Supervised classification with Graph Convolution Networks using Pytorch☆49Updated 3 years ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆39Updated 2 years ago
- Graph Learning Convolution Network☆37Updated last year
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆34Updated 6 months ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆22Updated 2 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆54Updated 3 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆63Updated 10 months ago
- Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)☆32Updated 5 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆60Updated 2 years ago
- Code for the paper "Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification" - ICDM 2019☆12Updated last year
- ☆34Updated 2 years ago
- The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]☆24Updated 2 years ago
- Code for "Learning Deep Network Representations with Adversarially Regularized Autoencoders."☆17Updated 4 years ago
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆76Updated 2 years ago
- This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It…☆24Updated 2 years ago
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆29Updated 2 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆77Updated last week
- Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”☆28Updated 2 years ago
- MMGCN：Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction☆19Updated 3 years ago
- [WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks☆41Updated 3 years ago
- DGL implementation of GRAND(Graph Random Neural Network, NeurIPS 2020)☆17Updated 3 years ago
- Hypergraph convolution and attention networks research☆12Updated 3 months ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆129Updated last year
- The Web Conference 2020: Structure-Feature based Graph Self-adaptive Pooling☆28Updated 4 years ago
- official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"☆41Updated 2 years ago
- Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019☆44Updated 4 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 3 years ago
- Xiangguo Sun et al. Heterogeneous Hypergraph Embedding for Graph Classification, WSDM2021☆25Updated 4 years ago