sungyongs / graph-based-nn
Graph Convolutional Networks (GCNs)
☆914Updated 7 years ago
Alternatives and similar repositories for graph-based-nn:
Users that are interested in graph-based-nn are comparing it to the libraries listed below
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆799Updated 2 years ago
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,354Updated 4 years ago
- A tutorial on Graph Convolutional Neural Networks☆318Updated 4 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆840Updated 3 years ago
- resources for graph convolutional networks (图卷积神经网络相关资源)☆891Updated 5 years ago
- Papers on Graph neural network(GNN)☆763Updated last year
- How Powerful are Graph Neural Networks?☆1,213Updated 3 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆371Updated last year
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆524Updated 4 years ago
- Keras implementation of Graph Convolutional Networks☆792Updated 3 years ago
- ☆487Updated 4 years ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,159Updated 2 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,254Updated 2 years ago
- Semi-supervised learning with graph embeddings☆915Updated 5 years ago
- Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org☆632Updated 5 years ago
- Pytorch Implementation for Graph Convolutional Neural Networks☆326Updated 6 years ago
- Spatio-temporal modeling 论文列表(主要是graph convolution相关)☆525Updated 5 years ago
- Simple reference implementation of GraphSAGE.☆1,016Updated 4 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆485Updated 4 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆332Updated 4 years ago
- Implementation of Graph Auto-Encoders in TensorFlow☆1,683Updated 5 years ago
- Position-aware Graph Neural Networks☆400Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆637Updated 2 years ago
- Pytorch implementation of Graph U-Nets (ICML19)☆534Updated 4 years ago
- Graph Markov Neural Networks☆407Updated 4 years ago
- A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)☆466Updated 5 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆644Updated last year
- Keras-based implementation of Relational Graph Convolutional Networks☆810Updated 5 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,183Updated 2 weeks ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆470Updated 2 years ago