DaehanKim / vgae_pytorchLinks
This repository implements variational graph auto encoder by Thomas Kipf.
☆422Updated 4 years ago
Alternatives and similar repositories for vgae_pytorch
Users that are interested in vgae_pytorch are comparing it to the libraries listed below
Sorting:
- Graph Auto-Encoder in PyTorch☆445Updated last year
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆343Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆274Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆203Updated 4 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆303Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Updated 5 years ago
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆279Updated 3 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Updated last year
- ☆302Updated 3 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆662Updated 3 years ago
- A curated list for awesome self-supervised learning for graphs.☆388Updated 3 years ago
- Hierarchical Graph Pooling with Structure Learning☆344Updated 4 years ago
- ☆276Updated 3 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 10 months ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆252Updated 5 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Updated 2 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆296Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆237Updated 2 years ago
- Representation learning on dynamic graphs using self-attention networks☆308Updated 2 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆196Updated last year
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆214Updated 5 years ago
- Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)☆360Updated 3 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆620Updated last year
- ☆341Updated last year
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆277Updated 10 months ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆678Updated 3 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆115Updated 2 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆612Updated 4 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆492Updated 7 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Updated 3 years ago