☆435Apr 28, 2019Updated 7 years ago
Alternatives and similar repositories for Graph-Neural-Network-Review
Users that are interested in Graph-Neural-Network-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:
- Must-read papers on graph neural networks (GNN)☆16,754Dec 20, 2023Updated 2 years ago
- A distributed graph deep learning framework.☆2,902Aug 19, 2023Updated 2 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,378Apr 14, 2023Updated 3 years ago
- Papers on Graph neural network(GNN)☆767Sep 18, 2023Updated 2 years ago
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,517Aug 3, 2020Updated 5 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.
- Representation learning on large graphs using stochastic graph convolutions.☆3,689Aug 4, 2024Updated last year
- A comprehensive collection of recent papers on graph deep learning☆3,079Dec 20, 2020Updated 5 years ago
- Implementation and experiments of graph embedding algorithms.☆3,841Apr 26, 2026Updated last week
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,803Mar 18, 2023Updated 3 years ago
- Paper Lists for Graph Neural Networks☆2,298Dec 29, 2023Updated 2 years ago
- links to conference publications in graph-based deep learning☆5,056Feb 7, 2026Updated 2 months ago
- Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"☆536Jan 11, 2022Updated 4 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,271Jul 31, 2025Updated 9 months ago
- Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org☆629Jan 23, 2020Updated 6 years 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.
- Graph Convolution Network for NLP☆210May 22, 2023Updated 2 years ago
- ☆1,287Nov 5, 2023Updated 2 years ago
- DeepWalk - Deep Learning for Graphs☆2,759Jun 14, 2023Updated 2 years ago
- Graph Neural Network Library for PyTorch☆23,700Apr 18, 2026Updated 2 weeks ago
- A tutorial on Graph Convolutional Neural Networks☆318Oct 8, 2020Updated 5 years ago
- Spatio-temporal modeling 论文列表(主要是graph convolution相关)☆525Nov 7, 2019Updated 6 years ago
- An Open-Source Package for Network Embedding (NE)☆1,705Jan 10, 2024Updated 2 years ago
- Build Graph Nets in Tensorflow☆5,400Dec 12, 2022Updated 3 years ago
- The learning of the GraphNeuralNetwork☆153Nov 21, 2019Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- LINE: Large-scale information network embedding☆1,054Jul 16, 2024Updated last year
- A curated list of network embedding techniques.☆2,624Dec 8, 2020Updated 5 years ago
- Generate embeddings from large-scale graph-structured data.☆3,458Mar 3, 2024Updated 2 years ago
- resources for graph convolutional networks (图卷积神经网络相关资源)☆913Jul 12, 2019Updated 6 years ago
- This is a tensorflow implementation of 2018 NIPS paper: [GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations.…☆14Dec 2, 2018Updated 7 years ago
- Classic papers and resources on recommendation☆3,538Oct 16, 2025Updated 6 months ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,526Apr 9, 2022Updated 4 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆852Jan 11, 2023Updated 3 years ago
- code for the paper in NeurIPS 2019☆40Mar 24, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Graph Convolutional Networks in PyTorch☆5,397Sep 20, 2020Updated 5 years ago
- Graph Convolutional Networks (GCNs)☆918Feb 9, 2018Updated 8 years ago
- Easy-to-use,Modular and Extendible package of deep-learning based CTR models .☆8,027Apr 26, 2026Updated last week
- Simple reference implementation of GraphSAGE.☆1,046May 11, 2020Updated 5 years ago
- This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".☆14Aug 20, 2021Updated 4 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆126Apr 25, 2024Updated 2 years ago
- Papers on Computational Advertising☆4,387Feb 9, 2021Updated 5 years ago