Jiakui / awesome-gcn
resources for graph convolutional networks (图卷积神经网络相关资源)
☆894Updated 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
- 图神经网络相关算法详述及实现☆870Updated 4 years ago
- GNN综述阅读报告☆901Updated 3 years ago
- Papers on Graph neural network(GNN)☆765Updated last year
- 《深入浅出图神经网络:GNN原理解析》配套代码☆1,822Updated 4 years ago
- How Powerful are Graph Neural Networks?☆1,216Updated 3 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,029Updated last year
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆814Updated 2 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,194Updated last month
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,158Updated 2 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆647Updated last year
- Semi-supervised learning with graph embeddings☆918Updated 5 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆799Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆842Updated 3 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,254Updated 2 years ago
- Heterogeneous Graph Neural Network☆1,136Updated 5 years ago
- Graph Convolution Network for PyTorch☆404Updated 6 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,583Updated last year
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,347Updated 3 years ago
- Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x☆502Updated 3 months ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆488Updated 4 years ago
- Paper Lists for Graph Neural Networks☆2,256Updated last year
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,770Updated last year
- Simple reference implementation of GraphSAGE.☆1,018Updated 4 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆371Updated last year
- 图神经网络整理☆571Updated 3 years ago
- A blog for understanding graph neural network☆438Updated 5 years ago
- Graph Convolutional Networks for Text Classification. AAAI 2019☆1,376Updated 3 years ago
- Hypergraph Neural Networks (AAAI 2019)☆749Updated 2 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆525Updated 4 years ago