shenweichen / GraphNeuralNetwork
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
☆788Updated last year
Related projects ⓘ
Alternatives and complementary repositories for GraphNeuralNetwork
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆630Updated last year
- Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"☆526Updated 2 years ago
- Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x☆497Updated 2 months ago
- Representation-Learning-on-Heterogeneous-Graph☆436Updated 4 years ago
- Heterogeneous Graph Neural Network☆1,089Updated 4 years ago
- code of HetGNN☆390Updated 4 years ago
- Simple reference implementation of GraphSAGE.☆996Updated 4 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆787Updated 2 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,142Updated last year
- Materials for DGL hands-on tutorial in WWW 2020☆502Updated 3 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆474Updated 4 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆798Updated 11 months ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆398Updated 4 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆519Updated 3 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆526Updated 3 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆470Updated last year
- Graph Neural Network☆267Updated 3 years ago
- An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)☆319Updated last year
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,733Updated 9 months ago
- [AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"☆821Updated 3 years ago
- Implementation of R-GCNs for Relational Link Prediction☆443Updated last year
- Semi-supervised learning with graph embeddings☆889Updated 4 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆832Updated 2 years ago
- 图神经网络相关算法详述及实现☆834Updated 3 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆630Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆475Updated 2 years ago
- resources for graph convolutional networks （图卷积神经网络相关资源）☆872Updated 5 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆487Updated 3 months ago
- ☆345Updated 4 years ago
- ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks☆597Updated 3 months ago