FighterLYL / GraphNeuralNetworkLinks
《深入浅出图神经网络:GNN原理解析》配套代码
☆1,867Updated 4 years ago
Alternatives and similar repositories for GraphNeuralNetwork
Users that are interested in GraphNeuralNetwork are comparing it to the libraries listed below
Sorting:
- GNN综述阅读报告☆914Updated 4 years ago
- 图神经网络相关算法详述及实现☆886Updated 4 years ago
- 图神经网络整理☆584Updated 4 years ago
- resources for graph convolutional networks (图卷积神经网络相关资源)☆900Updated 6 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,056Updated 2 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,407Updated 3 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆830Updated 2 years ago
- Heterogeneous Graph Neural Network☆1,161Updated 5 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,795Updated last year
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆660Updated last year
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,619Updated 2 years ago
- A blog for understanding graph neural network☆463Updated 5 years ago
- Implementation and experiments of graph embedding algorithms.☆3,816Updated last year
- Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x☆507Updated 7 months ago
- How Powerful are Graph Neural Networks?☆1,241Updated 4 years ago
- The implement of GNN based on Pytorch☆207Updated 2 years ago
- Paper Lists for Graph Neural Networks☆2,271Updated last year
- Semi-supervised learning with graph embeddings☆922Updated 5 years ago
- Graph Convolutional Networks in PyTorch☆5,336Updated 4 years ago
- Graph Convolution Network for PyTorch☆406Updated 6 years ago
- This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.☆931Updated 7 months ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,683Updated last year
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,212Updated 5 months ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,176Updated 3 years ago
- 复杂网络研究资源整理和基础知识学习☆699Updated 3 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,575Updated last year
- 主要存储Datawhale组队学习中“自然语言处理”方向的资料。☆926Updated 3 years ago
- Graph Convolutional Networks (GCNs)☆920Updated 7 years ago
- Papers on Graph neural network(GNN)☆765Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,044Updated 2 years ago