berlincho / RGCN-pytorchLinks
Pytorch implementation of Relational GCN for node classification
☆76Updated last year
Alternatives and similar repositories for RGCN-pytorch
Users that are interested in RGCN-pytorch are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).☆125Updated 3 years ago
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆111Updated 2 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated last year
- Pytorch implementation of a RGCN Link Prediction Model☆253Updated 3 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆117Updated 2 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆149Updated 2 years ago
- ☆113Updated last year
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆171Updated last year
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆65Updated last year
- The source code of HeCo☆165Updated 3 years ago
- Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification☆108Updated 4 years ago
- GraphSAGE and GAT for link prediction.☆91Updated 5 years ago
- Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021☆104Updated 6 months ago
- Temporal Message Passing Network for Temporal Knowledge Graph Completion☆58Updated 2 months ago
- DyHATR (ECML-PKDD 2020)☆44Updated 4 years ago
- PyToch implementation of R-GCN model for node classification and link prediction☆41Updated 6 years ago
- Code and dataset for IEEE TKDE paper "Dynamic Heterogeneous Information Network Embedding with Meta-path based Proximity"☆42Updated 4 years ago
- Knowledge Embedding Based Graph Convolutional Network (WWW 2021)☆46Updated 4 years ago
- ☆96Updated 4 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆91Updated 3 years ago
- ☆54Updated 3 years ago
- [WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks☆44Updated 3 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Updated 4 years ago
- This project analyzes the results of various models for Link Prediction on Knowledge Graphs using Knowledge Graph Embeddings. It allows t…☆74Updated 4 years ago
- This is the official code release of the following paper: Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzh…☆146Updated 2 years ago
- ☆29Updated 4 years ago
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆135Updated last year
- 使用DGL和pytorch实现metapath2vec☆50Updated 3 years ago
- Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)☆262Updated 4 years ago
- Implementation for the paper: Representation Learning on Knowledge Graphs for Node Importance Estimation☆37Updated 2 years ago