calebmah / ggnn.pytorchLinks
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
Sorting:
- PyToch implementation of R-GCN model for node classification and link prediction☆41Updated 6 years ago
- ☆61Updated 4 years ago
- Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)☆262Updated 4 years ago
- The code for GCN, GAT and Graphsage based on pytorch.☆60Updated last year
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated last year
- ☆29Updated 4 years ago
- Graph Neural Networks including GAT\GCN\GGNN,GGNN-LSTM,using scene graph to generate captions☆1Updated 5 years ago
- Pytorch implementation of Relational GCN for node classification☆76Updated last year
- A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811☆117Updated 2 years ago
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆104Updated 10 months ago
- Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".☆80Updated 5 years ago
- The SDNE (Structural Deep Network Embedding) based on Pytorch☆31Updated 5 years ago
- A Complete PyTorch 1.0 Implementation of Gated Graph Sequence Neural Networks (GGNN)☆55Updated 3 years ago
- Btech S8 Main Project☆23Updated 5 years ago
- A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)☆38Updated 6 years ago
- bilinear graph neural network☆30Updated 5 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated last year
- ☆137Updated 4 years ago
- 使用DGL和pytorch实现metapath2vec☆50Updated 3 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 5 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 5 years ago
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆111Updated 2 years ago
- pytorch implementaion of Relational Graph Convolutional Networks☆36Updated 5 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- Gated Graph Sequential Neural Networks in PyTorch. Easy to read and understand.☆16Updated 5 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆117Updated 2 years ago
- A PyTorch implementation of the LINE paper.☆45Updated 6 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- Semi-supervised User Profiling with Heterogeneous Graph Attention Networks, IJCAI 2019.☆48Updated 3 years ago
- Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"☆56Updated 4 years ago