calebmah / ggnn.pytorch
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN) and Residual Gated Graph ConvNets (RGGC) for FYP
☆72Updated 6 years ago
Alternatives and similar repositories for ggnn.pytorch:
Users that are interested in ggnn.pytorch are comparing it to the libraries listed below
- Graph Neural Networks including GAT\GCN\GGNN,GGNN-LSTM,using scene graph to generate captionsUpdated 5 years ago
- Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".☆79Updated 5 years ago
- PyToch implementation of R-GCN model for node classification and link prediction☆41Updated 6 years ago
- ☆137Updated 4 years ago
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆104Updated 9 months ago
- The code for GCN, GAT and Graphsage based on pytorch.☆60Updated last year
- Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)☆263Updated 3 years ago
- The implement of GNN based on Pytorch☆200Updated last year
- A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)☆38Updated 6 years ago
- ☆61Updated 4 years ago
- The SDNE (Structural Deep Network Embedding) based on Pytorch☆31Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated last year
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆116Updated 2 years ago
- 使用DGL和pytorch实现metapath2vec☆50Updated 3 years ago
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆111Updated 2 years ago
- Gated Graph Sequential Neural Networks in PyTorch. Easy to read and understand.☆16Updated 5 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated last year
- Source Codes of HetSANN in the AAAI'20 paper: An Attention-based Graph Nerual Network for Heterogeneous Structural Learning.☆145Updated 4 years ago
- ☆29Updated 4 years ago
- A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)☆466Updated 5 years ago
- Pytorch implementation of Relational GCN for node classification☆76Updated last year
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆371Updated last year
- Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"☆56Updated 4 years ago
- A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811☆117Updated 2 years ago
- bilinear graph neural network☆29Updated 4 years ago
- ☆53Updated 5 years ago
- DGL中文文档。This is the Chinese manual of the graph neural network library DGL, currently contains the User Guide.☆75Updated 3 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 5 years ago