An Industrial Graph Neural Network Framework
โ1,340Jul 4, 2025Updated last year
Alternatives and similar repositories for graph-learn
Users that are interested in graph-learn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A distributed graph deep learning framework.โ2,899Aug 19, 2023Updated 3 years ago
- ๐จ ๐ ๐ป ๐ GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | ไธ็ซๅผๅพ่ฎก็ฎ็ณป็ปโ3,558Sep 23, 2026Updated 2 weeks ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.โ14,283Jul 31, 2025Updated last year
- ่ พ่ฎฏ้ซๆง่ฝๅๅธๅผๅพ่ฎก็ฎๆกๆถPlatoโ1,912Aug 14, 2021Updated 5 years ago
- ๐ A C++ library for parallel graph processing (GRAPE) ๐โ442Jul 22, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform โข AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Representation learning on large graphs using stochastic graph convolutions.โ3,729Aug 4, 2024Updated 2 years ago
- An industrial deep learning framework for high-dimension sparse dataโ4,301Sep 25, 2024Updated 2 years ago
- Generate embeddings from large-scale graph-structured data.โ3,452Mar 3, 2024Updated 2 years ago
- A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.โ145Sep 23, 2025Updated last year
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)โ1,820Feb 1, 2024Updated 2 years ago
- Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddleโ1,584Dec 11, 2023Updated 2 years ago
- Must-read papers on graph neural networks (GNN)โ16,844Dec 20, 2023Updated 2 years ago
- DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Founโฆโ1,198Jan 21, 2025Updated last year
- GraphVite: A General and High-performance Graph Embedding Systemโ1,269Jun 14, 2024Updated 2 years ago
- Open source password manager - Proton Pass โข AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Graph Neural Network Library for PyTorchโ24,111Updated this week
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.โ306Aug 17, 2023Updated 3 years ago
- Implementation and experiments of graph embedding algorithms.โ3,842Apr 26, 2026Updated 5 months ago
- Easy-to-use,Modular and Extendible package of deep-learning based CTR models .โ8,049Jul 2, 2026Updated 3 months ago
- Repository for benchmarking graph neural networks (JMLR 2023)โ2,670Jun 22, 2023Updated 3 years ago
- โ32May 13, 2019Updated 7 years ago
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.โ272Mar 31, 2023Updated 3 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learningโ2,098May 6, 2025Updated last year
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which canโฆโ2,437Apr 18, 2026Updated 5 months ago
- AI Agents on DigitalOcean Gradient AI Platform โข AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A Flexible and Powerful Parameter Server for large-scale machine learningโ6,794Sep 18, 2026Updated 3 weeks ago
- A general-purpose, distributed graph random walk engine.โ109Aug 5, 2023Updated 3 years ago
- A computation-centric distributed graph processing system.โ329Aug 15, 2021Updated 5 years ago
- A high performance and generic framework for distributed DNN trainingโ3,717Oct 3, 2023Updated 3 years ago
- vineyard (v6d): an in-memory immutable data manager. (Project under CNCF, TAG-Storage)โ965Jan 22, 2026Updated 8 months ago
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.โ1,335Jul 6, 2026Updated 3 months ago
- GraphGallery is a gallery for benchmarking Graph Neural Networksโ475Aug 14, 2023Updated 3 years ago
- FastNN provides distributed training examples that use EPL.โ85Mar 11, 2022Updated 4 years ago
- Must-read papers on network representation learning (NRL) / network embedding (NE)โ2,511Aug 3, 2020Updated 6 years ago
- Virtual machines for every use case on DigitalOcean โข AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.โ855Jan 11, 2023Updated 3 years ago
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating trainingโ1,073Aug 3, 2026Updated 2 months ago
- Implementation of Graph Convolutional Networks in TensorFlowโ7,407Apr 14, 2023Updated 3 years ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.โ51May 23, 2023Updated 3 years ago
- โ1,731Jun 12, 2020Updated 6 years ago
- โ1,209Mar 6, 2019Updated 7 years ago
- A framework for large scale recommendation algorithms.โ2,361Apr 15, 2026Updated 5 months ago