rapidsai / cugraphLinks
cuGraph - RAPIDS Graph Analytics Library
☆2,100Updated this week
Alternatives and similar repositories for cugraph
Users that are interested in cugraph are comparing it to the libraries listed below
Sorting:
- cuML - RAPIDS Machine Learning Library☆5,077Updated last week
- NetworKit is a growing open-source toolkit for large-scale network analysis.☆837Updated 3 weeks ago
- Programmable CUDA/C++ GPU Graph Analytics☆1,051Updated last year
- RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-a…☆969Updated this week
- RAPIDS Community Notebooks☆555Updated 10 months ago
- cuDF - GPU DataFrame Library☆9,402Updated this week
- TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.☆1,508Updated 3 weeks ago
- NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…☆1,135Updated 2 months ago
- Graph Algorithms☆626Updated last month
- Python interface for igraph☆1,423Updated last week
- StellarGraph - Machine Learning on Graphs☆3,043Updated last year
- RAPIDS Memory Manager☆670Updated this week
- cuVS - a library for vector search and clustering on the GPU☆607Updated last week
- Fastest network node embeddings in the west☆556Updated last year
- Python library assists deep learning on graphs☆565Updated last month
- RAPIDS Sample Notebooks☆580Updated 2 years ago
- Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)☆2,266Updated last year
- A Graph Neural Network Library in Jax☆1,461Updated last year
- NumPy and SciPy on Multi-Node Multi-GPU systems☆963Updated last week
- An autoML framework & toolkit for machine learning on graphs.☆1,133Updated last month
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,067Updated 8 months ago
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,326Updated 5 months ago
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆929Updated 3 years ago
- GraphVite: A General and High-performance Graph Embedding System☆1,268Updated last year
- 🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations☆617Updated last year
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆302Updated 2 years ago
- A Python nearest neighbor descent for approximate nearest neighbors☆955Updated this week
- common in-memory tensor structure☆1,136Updated 3 weeks ago
- 🤖 A Python library for learning and evaluating knowledge graph embeddings☆1,932Updated 3 weeks ago
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,519Updated 5 months ago