calebmah / ggnn.pytorch
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN) and Residual Gated Graph ConvNets (RGGC) for FYP
☆73Updated 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
- Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)☆263Updated 3 years ago
- Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".☆77Updated 5 years ago
- Graph Neural Networks including GAT\GCN\GGNN,GGNN-LSTM,using scene graph to generate captionsUpdated 5 years ago
- PyToch implementation of R-GCN model for node classification and link prediction☆42Updated 5 years ago
- ☆61Updated 4 years ago
- The implement of GNN based on Pytorch☆199Updated last year
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆104Updated 8 months ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated 11 months ago
- ☆53Updated 5 years ago
- The SDNE (Structural Deep Network Embedding) based on Pytorch☆31Updated 4 years ago
- The code for GCN, GAT and Graphsage based on pytorch.☆60Updated last year
- A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)☆466Updated 5 years ago
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆107Updated 2 years ago
- ☆136Updated 4 years ago
- Gated Graph Sequential Neural Networks in PyTorch. Easy to read and understand.☆17Updated 4 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 5 years ago
- Pytorch implementation of Relational GCN for node classification☆73Updated last year
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆75Updated 6 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks☆38Updated 3 years ago
- pytorch implementaion of Relational Graph Convolutional Networks☆35Updated 5 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- Graph Convolutional Networks for Text Classification.☆45Updated 5 years ago
- A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811☆117Updated 2 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆116Updated 2 years ago
- Semi-supervised User Profiling with Heterogeneous Graph Attention Networks, IJCAI 2019.☆48Updated 3 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆146Updated 7 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆113Updated last year
- Official PyTorch Implementation of SAGPool - ICML 2019☆371Updated last year