THUDM / CogDLLinks
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
☆1,816Updated last year
Alternatives and similar repositories for CogDL
Users that are interested in CogDL are comparing it to the libraries listed below
Sorting:
- Heterogeneous Graph Neural Network☆1,193Updated 5 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆890Updated 2 years ago
- Simple reference implementation of GraphSAGE.☆1,038Updated 5 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆676Updated 2 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆842Updated 3 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,068Updated 8 months ago
- Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x☆507Updated 4 months ago
- This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.☆954Updated 3 months ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,705Updated last year
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆808Updated 3 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,647Updated 2 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,227Updated 9 months ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,646Updated last year
- How Powerful are Graph Neural Networks?☆1,267Updated 4 years ago
- Materials for DGL hands-on tutorial in WWW 2020☆503Updated 4 years ago
- GraphVite: A General and High-performance Graph Embedding System☆1,269Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆959Updated last year
- GNN综述阅读报告☆924Updated 4 years ago
- Papers on Graph neural network(GNN)☆768Updated 2 years ago
- 图神经网络相关算法详述及实现☆906Updated 5 years ago
- Semi-supervised learning with graph embeddings☆942Updated 5 years ago
- gnn explainer☆1,025Updated last year
- An Open-Source Package for Network Embedding (NE)☆1,704Updated 2 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,072Updated 2 years ago
- Paper Lists for Graph Neural Networks☆2,291Updated 2 years ago
- resources for graph convolutional networks (图卷积神经网络相关资源)☆910Updated 6 years ago
- Implementation and experiments of graph embedding algorithms.☆3,834Updated last year
- Representation-Learning-on-Heterogeneous-Graph☆444Updated 5 years ago
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,326Updated 5 months ago
- 《深入浅出图神经网络:GNN原理解析》配套代码☆1,907Updated 4 years ago