zfjsail / gae-pytorchLinks
Graph Auto-Encoder in PyTorch
☆440Updated last year
Alternatives and similar repositories for gae-pytorch
Users that are interested in gae-pytorch are comparing it to the libraries listed below
Sorting:
- This repository implements variational graph auto encoder by Thomas Kipf.☆416Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆657Updated 3 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆323Updated last year
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆335Updated last year
- Hierarchical Graph Pooling with Structure Learning☆342Updated 4 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆117Updated 5 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆357Updated 5 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆397Updated last year
- ☆302Updated 3 years ago
- ☆500Updated 4 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆201Updated 4 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆300Updated 2 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆473Updated 2 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆276Updated 7 months ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆209Updated 5 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆588Updated 4 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆677Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆485Updated 6 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆187Updated 3 years ago
- Representation learning on dynamic graphs using self-attention networks☆302Updated 2 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆251Updated 5 years ago
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆275Updated 2 years ago
- ☆272Updated 3 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆355Updated 5 months ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Updated 2 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,059Updated 2 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Updated last year
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆232Updated 2 years ago