zfjsail / gae-pytorchLinks
Graph Auto-Encoder in PyTorch
☆438Updated 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
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆320Updated last year
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆650Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆272Updated 2 years ago
- Hierarchical Graph Pooling with Structure Learning☆342Updated 4 years ago
- ☆497Updated 4 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆333Updated last year
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆356Updated 5 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆202Updated 4 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆578Updated 3 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆299Updated 2 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆117Updated 5 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆397Updated last year
- 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…☆273Updated 6 months ago
- ☆301Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆482Updated 6 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆354Updated 3 months ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆605Updated last year
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆186Updated 3 years ago
- ☆272Updated 3 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆676Updated 3 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆206Updated 5 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆249Updated 5 years ago
- Representation learning on dynamic graphs using self-attention networks☆299Updated 2 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,050Updated 2 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆299Updated 2 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆645Updated last year
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Updated last year
- Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)☆346Updated 3 years ago