Alternatives and similar repositories for graph-learn

Users that are interested in graph-learn are comparing it to the libraries listed below

• alibaba / euler
  A distributed graph deep learning framework.
  ☆2,901Updated last year
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,252Updated last year
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,793Updated last year
• thunlp / OpenNE
  An Open-Source Package for Network Embedding (NE)
  ☆1,703Updated last year
• THUDM / GATNE
  Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
  ☆531Updated 3 years ago
• DeepRec-AI / DeepRec
  DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foun…
  ☆1,116Updated 6 months ago
• PaddlePaddle / PGL
  Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
  ☆1,587Updated last year
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆823Updated 2 years ago
• Tencent / plato
  腾讯高性能分布式图计算框架Plato
  ☆1,914Updated 3 years ago
• shenweichen / GraphEmbedding
  Implementation and experiments of graph embedding algorithms.
  ☆3,814Updated last year
• alibaba-archive / graph-learn1
  ☆33Updated 6 years ago
• talorwu / Graph-Neural-Network-Review
  ☆437Updated 6 years ago
• Tencent / embedx
  embedx 是基于 c++ 开发的、完全自研的分布式 embedding 训练和推理框架。它目前支持 图模型、深度排序、召回模型和图与排序、图与召回的联合训练模型等
  ☆311Updated last year
• dglai / WWW20-Hands-on-Tutorial
  Materials for DGL hands-on tutorial in WWW 2020
  ☆504Updated 4 years ago
• CrawlScript / tf_geometric
  Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x
  ☆504Updated 6 months ago
• Angel-ML / PyTorch-On-Angel
  PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.
  ☆168Updated last month
• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,523Updated 5 years ago
• tangjianpku / LINE
  LINE: Large-scale information network embedding
  ☆1,052Updated last year
• imsheridan / DeepRec
  推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
  ☆1,013Updated last year
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,558Updated last year
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,410Updated last year
• Qihoo360 / tensornet
  a TensorFlow-based distributed training framework optimized for large-scale sparse data.
  ☆328Updated last month
• jiaoxuewu / PaddleBox
  PArallel Distributed Deep LEarning （PaddlePaddle核心框架，高性能单机、分布式训练和跨平台部署）
  ☆34Updated 9 months ago
• awslabs / dgl-ke
  High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
  ☆1,312Updated last year
• JDGalileo / galileo
  Galileo library for large scale graph training by JD
  ☆151Updated 3 years ago
• NVIDIA-Merlin / HugeCTR
  HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
  ☆1,021Updated 4 months ago
• palash1992 / GEM
  ☆1,286Updated last year
• dmlc / ps-lite
  A lightweight parameter server interface
  ☆1,556Updated 2 years ago
• alibaba / libgrape-lite
  🍇 A C++ library for parallel graph processing (GRAPE) 🍇
  ☆420Updated 2 weeks ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,029Updated 5 years ago