inyeoplee77 / SAGPoolLinks
Official PyTorch Implementation of SAGPool - ICML 2019
☆370Updated last year
Alternatives and similar repositories for SAGPool
Users that are interested in SAGPool are comparing it to the libraries listed below
Sorting:
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆334Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago
- ☆491Updated 4 years ago
- ☆299Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆350Updated 4 years ago
- Hierarchical Graph Pooling with Structure Learning☆340Updated 3 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆285Updated 4 years ago
- Pytorch implementation of Graph U-Nets (ICML19)☆537Updated 4 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆642Updated 2 years ago
- Pytorch Implementation for Graph Convolutional Neural Networks☆326Updated 6 years ago
- Graph Convolution Network for PyTorch☆403Updated 6 years ago
- PyTorch implementation of DGCNN☆387Updated last year
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆122Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆271Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆474Updated 6 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆244Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆435Updated last year
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆319Updated last year
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆200Updated 4 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆327Updated last year
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆843Updated 3 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆184Updated 3 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆526Updated 4 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆329Updated last year
- This repository implements variational graph auto encoder by Thomas Kipf.☆409Updated 3 years ago
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆178Updated 7 years ago
- ☆268Updated 3 years ago
- Simple reference implementation of GraphSAGE.☆1,022Updated 5 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆298Updated 2 years ago