zfjsail / gae-pytorchLinks
Graph Auto-Encoder in PyTorch
☆441Updated 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.☆415Updated 3 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆272Updated 2 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆318Updated last year
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆648Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆354Updated 5 years ago
- ☆494Updated 4 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆481Updated 6 years ago
- Hierarchical Graph Pooling with Structure Learning☆343Updated 4 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆300Updated 2 years ago
- ☆300Updated 3 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆116Updated 5 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆473Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆332Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated last year
- Subgraph Neural Networks (NeurIPS 2020)☆200Updated 4 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆206Updated 5 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆353Updated 3 months ago
- Representation learning on dynamic graphs using self-attention networks☆297Updated 2 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆642Updated last year
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆576Updated 3 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆602Updated last year
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆272Updated 5 months ago
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆270Updated 2 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆185Updated 3 years ago
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- ☆270Updated 3 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆248Updated 5 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆675Updated 3 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆370Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,048Updated 2 years ago