shenweichen / GraphNeuralNetworkLinks
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
☆820Updated 2 years ago
Alternatives and similar repositories for GraphNeuralNetwork
Users that are interested in GraphNeuralNetwork are comparing it to the libraries listed below
Sorting:
- Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x☆506Updated 6 months ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆654Updated last year
- Heterogeneous Graph Neural Network☆1,149Updated 5 years ago
- Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"☆531Updated 3 years ago
- code of HetGNN☆408Updated 5 years ago
- Representation-Learning-on-Heterogeneous-Graph☆441Updated 5 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆490Updated 4 years ago
- Simple reference implementation of GraphSAGE.☆1,027Updated 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
- 图神经网络相关算法详述及实现☆882Updated 4 years ago
- Materials for DGL hands-on tutorial in WWW 2020☆503Updated 4 years ago
- Graph Neural Network☆267Updated 3 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆848Updated last year
- Semi-supervised learning with graph embeddings☆922Updated 5 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,787Updated last year
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆424Updated 4 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,204Updated 3 months ago
- resources for graph convolutional networks （图卷积神经网络相关资源）☆898Updated 6 years ago
- An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)☆323Updated 2 years ago
- The learning of the GraphNeuralNetwork☆155Updated 5 years ago
- [AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"☆841Updated 3 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆645Updated 2 years ago
- This is a tutorial for PyTorch Geometric on the YooChoose dataset☆316Updated 6 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆526Updated 4 years ago
- Papers on Graph neural network(GNN)☆766Updated last year
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆490Updated 2 years ago
- GNN综述阅读报告☆908Updated 3 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆570Updated 3 years ago
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆535Updated 5 years ago
- KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019☆1,114Updated 4 years ago