murphyyhuang / gnn_hierarchical_poolingLinks
Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".
☆82Updated 5 years ago
Alternatives and similar repositories for gnn_hierarchical_pooling
Users that are interested in gnn_hierarchical_pooling are comparing it to the libraries listed below
Sorting:
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆249Updated 5 years ago
- Graph Learning Convolution Network☆39Updated 2 years ago
- 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
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆159Updated 2 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆123Updated last year
- ☆272Updated 3 years ago
- The Web Conference 2020: Structure-Feature based Graph Self-adaptive Pooling☆28Updated 5 years ago
- ☆53Updated 6 years ago
- Graph Convolution Network for PyTorch☆404Updated 6 years ago
- ☆97Updated 4 years ago
- ☆29Updated 5 years ago
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆49Updated 5 years ago
- ☆67Updated 2 years ago
- Semi-Supervised classification with Graph Convolution Networks using Pytorch☆53Updated 4 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆67Updated last year
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆231Updated 2 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆118Updated 3 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆62Updated 3 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆206Updated 5 years ago
- Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021☆105Updated 10 months ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆333Updated last year
- Structural Deep Clustering Network☆284Updated 2 years ago
- Source Codes of HetSANN in the AAAI'20 paper: An Attention-based Graph Nerual Network for Heterogeneous Structural Learning.☆144Updated 4 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Updated 2 years ago
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆58Updated 4 years ago
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆270Updated 2 years ago
- ☆301Updated 3 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆177Updated last year
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆356Updated 5 years ago