Jiakui / awesome-gcn
resources for graph convolutional networks (图卷积神经网络相关资源)
☆892Updated 5 years ago
Alternatives and similar repositories for awesome-gcn:
Users that are interested in awesome-gcn are comparing it to the libraries listed below
- Graph Convolutional Networks (GCNs)☆914Updated 7 years ago
- GNN综述阅读报告☆897Updated 3 years ago
- 图神经网络相关算法详述及实现☆868Updated 4 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆813Updated 2 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,185Updated 2 weeks ago
- Heterogeneous Graph Neural Network☆1,129Updated 4 years ago
- Graph Convolution Network for PyTorch☆402Updated 5 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,254Updated 2 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆800Updated 2 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆646Updated last year
- Papers on Graph neural network(GNN)☆763Updated last year
- How Powerful are Graph Neural Networks?☆1,213Updated 3 years ago
- Simple reference implementation of GraphSAGE.☆1,016Updated 4 years ago
- Semi-supervised learning with graph embeddings☆916Updated 5 years ago
- 《深入浅出图神经网络:GNN原理解析》配套代码☆1,817Updated 4 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆524Updated 4 years ago
- Paper Lists for Graph Neural Networks☆2,252Updated last year
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,336Updated 3 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,020Updated last year
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆485Updated 4 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,768Updated last year
- Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x☆500Updated 3 months 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
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆840Updated 3 years ago
- Keras-based implementation of Relational Graph Convolutional Networks☆810Updated 5 years ago
- Graph Convolutional Networks for Text Classification. AAAI 2019☆1,375Updated 3 years ago
- Keras implementation of Graph Convolutional Networks☆792Updated 3 years ago
- Materials for DGL hands-on tutorial in WWW 2020☆503Updated 3 years ago
- A blog for understanding graph neural network☆432Updated 5 years ago
- PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.☆1,434Updated 3 years ago