GNN综述阅读报告
☆926Aug 17, 2021Updated 5 years ago
Alternatives and similar repositories for GNN_Review
Users that are interested in GNN_Review are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 图神经网络相关算法详述及实现☆917Nov 25, 2020Updated 5 years ago
- Must-read papers on graph neural networks (GNN)☆16,841Dec 20, 2023Updated 2 years ago
- 《深入浅出图神经网络:GNN原理解析》配套代码☆1,928Feb 24, 2021Updated 5 years ago
- 图神经网络整理☆605Aug 11, 2021Updated 5 years ago
- Graph Neural Network Library for PyTorch☆24,091Sep 1, 2026Updated 2 weeks ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,284Jul 31, 2025Updated last year
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆855Jan 11, 2023Updated 3 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,669Jun 22, 2023Updated 3 years ago
- Graph Convolutional Networks in PyTorch☆5,398Sep 20, 2020Updated 5 years ago
- Implementation and experiments of graph embedding algorithms.☆3,842Apr 26, 2026Updated 4 months ago
- Graph Neural Network☆268Aug 6, 2021Updated 5 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,122Jul 6, 2023Updated 3 years ago
- Paper Lists for Graph Neural Networks☆2,312Dec 29, 2023Updated 2 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,403Apr 14, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,278Mar 18, 2023Updated 3 years ago
- Materials for DGL hands-on tutorial in WWW 2020☆501Jun 21, 2021Updated 5 years ago
- resources for graph convolutional networks (图卷积神经网络相关资源)☆907Jul 12, 2019Updated 7 years ago
- gnn explainer☆1,058Aug 30, 2024Updated 2 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,821Feb 1, 2024Updated 2 years ago
- Papers on Graph neural network(GNN)☆764Sep 18, 2023Updated 3 years ago
- The implement of GNN based on Pytorch☆209Jul 6, 2023Updated 3 years ago
- links to conference publications in graph-based deep learning☆5,099Jun 7, 2026Updated 3 months ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,728Feb 2, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- TensorFlow implementations of Graph Neural Networks☆927Nov 28, 2022Updated 3 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆804Nov 6, 2022Updated 3 years ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,801Mar 18, 2023Updated 3 years ago
- How Powerful are Graph Neural Networks?☆1,287Jul 1, 2021Updated 5 years ago
- Bag of Tricks for Graph Neural Networks.☆290Jul 19, 2024Updated 2 years ago
- The official implementation of the Graph Barlow Twins method with the experimental pipeline☆32Oct 15, 2023Updated 2 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,728Aug 4, 2024Updated 2 years ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,187Jul 31, 2022Updated 4 years ago
- Semi-supervised learning with graph embeddings☆963Mar 5, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破…☆3,016May 11, 2026Updated 4 months ago
- A curated list for awesome self-supervised learning for graphs.☆391Oct 25, 2022Updated 3 years ago
- Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020☆788Mar 24, 2023Updated 3 years ago
- Heterogeneous Graph Neural Network☆1,220May 6, 2020Updated 6 years ago
- A list of recent papers about Graph Neural Network methods applied in NLP areas.☆903Sep 3, 2026Updated 2 weeks ago
- Scalable Graph Neural Networks with Deep Graph Library☆151Dec 3, 2020Updated 5 years ago
- pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行☆21,711Jul 25, 2024Updated 2 years ago